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Location: Hungary; Italy; Spain; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for highly skilled Mathematics Experts with strong backgrounds in advanced mathematics, computational problem-solving, and Python programming to contribute to an AI training initiative. In this role, you will solve, develop, review, and validate complex mathematical tasks using programmatic and command-line-based workflows. You will translate mathematical concepts into executable procedures, implement algorithms, conduct numerical experiments, and verify that computational results are mathematically sound and reproducible. The ideal candidate combines advanced mathematical knowledge with practical programming skills and experience using scientific computing tools. Previous AI experience is not required. Your mathematical expertise and ability to produce reliable computational solutions are what matter most. Job Type: Contractor Location: Global — Fully Remote Key Responsibilities Solve and validate advanced mathematical and computational problems across relevant mathematical disciplines. Translate mathematical requirements into precise, structured, and executable workflows. Implement mathematical equations, algorithms, and numerical procedures using Python and command-line-accessible tools. Automate calculations, numerical experiments, parameter sweeps, and result validation. Apply appropriate mathematical methods to optimization, modeling, statistical analysis, and numerical computation tasks. Test edge cases, verify assumptions, and assess the mathematical and numerical validity of solutions. Use scientific computing libraries and mathematical software to develop reproducible solutions. Review mathematical tasks and computational outputs for correctness, completeness, and clarity. Document methodologies, calculations, and results in a clear and reproducible manner. Requirements Completed MSc/PhD in math or a closely related quantitative field and strong Practical Python skills.

Location: France; Germany; Switzerland; Poland; United Kingdom; Romania About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for highly skilled Mathematics Experts with strong backgrounds in advanced mathematics, computational problem-solving, and Python programming to contribute to an AI training initiative. In this role, you will solve, develop, review, and validate complex mathematical tasks using programmatic and command-line-based workflows. You will translate mathematical concepts into executable procedures, implement algorithms, conduct numerical experiments, and verify that computational results are mathematically sound and reproducible. The ideal candidate combines advanced mathematical knowledge with practical programming skills and experience using scientific computing tools. Previous AI experience is not required. Your mathematical expertise and ability to produce reliable computational solutions are what matter most. Job Type: Contractor Location: Global — Fully Remote Key Responsibilities Solve and validate advanced mathematical and computational problems across relevant mathematical disciplines. Translate mathematical requirements into precise, structured, and executable workflows. Implement mathematical equations, algorithms, and numerical procedures using Python and command-line-accessible tools. Automate calculations, numerical experiments, parameter sweeps, and result validation. Apply appropriate mathematical methods to optimization, modeling, statistical analysis, and numerical computation tasks. Test edge cases, verify assumptions, and assess the mathematical and numerical validity of solutions. Use scientific computing libraries and mathematical software to develop reproducible solutions. Review mathematical tasks and computational outputs for correctness, completeness, and clarity. Document methodologies, calculations, and results in a clear and reproducible manner. Requirements Completed MSc/PhD in math or a closely related quantitative field and strong Practical Python skills.

Maqsad: Matematika noyabr milliy sertfikat imtixoniga bir oy davomida tayorlanishimni kantrol qiladigan teacher kerak. Texnologiya: C#. Hudud: Toshkent sh. Murojaat qilish vaqti: 9:00 - 22:00. Narxi: 500 ming.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for a Research Engineer to help develop our Geospatial Visual Localization technologies, which allows people and robots to accurately localize themselves anywhere on the planet. This is an end-to-end applied research role. You will develop new approaches to open problems alongside our researchers in 3D vision and machine learning, and publish your work at leading conferences. You will help build and train large models on large-scale multi-modal datasets, including our proprietary collection of 30 billion posed images and ship them into production, to be used by people and robots from all over the world. Our team works with heterogeneous captures from phones and other handheld devices, 360 cameras, vehicles, and drones, as well as aerial and satellite imagery, LiDAR, and external geographic data. Your focus will be to improve accuracy and robustness across urban and rural locations, cameras, seasons, weather, and capture quality. The system must remain reliable with noisy GPS, in GPS-denied environments, and with outdated reference maps. Each pose estimate comes with an uncertainty that our customers rely on, and keeping it well calibrated across these conditions is part of the work. WHAT YOU'LL DO - Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning. - Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness. - Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps. - Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale. - Communicate results clearly through technical writing, design reviews, internal presentations, and publications. WHAT YOU'LL BRING - Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field. - Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion. - Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention. - Knowledge of geospatial data and coordinate reference systems. - Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. - Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems. - Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication and the ability to collaborate across research and engineering disciplines. NICE TO HAVE - A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required. - A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals. - Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Brussels; London; London OR Brussels Workplace: OnSite Innovation Quant Developer: Intern - DeFi/Corporate Development Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Linear Market Making, DeFi trading , Credit/curation and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge     The role About Corporate Development In our Corporate Development team, we identify, evaluate, prototype, and build strategic innovations across digital asset markets and Web3 ecosystems. Operating at the intersection of quantitative analysis, technology due diligence, and venture/strategic growth, the Corp Dev team works on evaluating emerging crypto primitives, building data-driven systems to track market trends, and assessing the technical viability of potential deals, partnerships, and new business lines. As an Innovation Quant Developer Intern, you will work directly with quant developers and Corp Dev strategists to prototype new technologies, conduct technical due diligence, and support strategic growth initiatives. KEY RESPONSIBILITIES OF AN INNOVATION QUANT DEVELOPER INTERN IN THIS UNIT - Web3 Primitive & Technology Evaluation: Assist in evaluating new Web3.0 primitives, DeFi protocols, and emerging blockchain infrastructure, analyzing engineering requirements to align with Corporate Development growth goals. - Technical Due Diligence & Strategic Analysis: Support technical and quantitative due diligence on potential strategic deals, venture investments, and ecosystem partnerships to evaluate architectural viability and strategic fit. - Prototyping & System Integration: Help build, test, and maintain prototype systems, analytics tools, and internal proof-of-concepts, collaborating across divisions to ensure compatibility with Keyrock's broader trading and tech stack. - Market Intelligence & Data Analytics: Use Python, SQL, and data analytics to track emerging technologies, monitor market trends, and deliver actionable data-driven insights for strategic growth opportunities. WHO YOU ARE/KEY REQUIREMENTS - Technical & Quantitative Foundation: Graduating student or recent graduate in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field with a solid code-first foundation in Python and SQL (with Git proficiency). - Web3 & Digital Asset Passion: Strong understanding of and active, deep interest in Web3.0, digital assets, blockchain primitives, and capital markets. - Analytical & Prototyping Mindset: Ability to analyze technical documentation, work with data/on-chain telemetry, evaluate emerging technologies, and build quantitative models or prototype tools. - Drive & Ownership: Self-starter with strong communication skills, curiosity to learn rapidly, and an owner mentality to contribute directly to strategic projects. - Nice-to-Haves: Hands-on experience prototyping smart contracts or Web3 tools, familiarity with Rust, Solidity, EVM event logs, or previous internship/project experience in crypto or quantitative finance. Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply them to the most demanding forecasting problems in industry, from power grids and plants to trading desks. Timestral, our family of time-series foundation models, ranked first on amongst all benchmarks at release (tech report https://arxiv.org/pdf/2610.37585v1). The role has two sides: building the next generations of Timestral with our Science team, and taking them into production with our industrial and financial clients, adapted to their data. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art time-series foundation models on clusters with thousands of GPUs. - Generate and curate large-scale time-series datasets, real and synthetic, and build evaluators and benchmarks for forecasting and other time-series tasks. - Push the frontier of Timestral: architectures, training recipes, scaling, and new capabilities such as anomaly detection, classification and embeddings. - Fine-tune and adapt Timestral on client data, in the cloud or on-premise, and benchmark it against the client's existing models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases, including agents that combine Timestral with Mistral LLMs. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills, at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Solid knowledge of modern deep learning and large language models: architectures, pre-training, post-training and evaluation. - Experience pre-training or fine-tuning time-series foundation models or large transformer models at scale. - Strong background in time-series modelling: probabilistic forecasting, multivariate series and covariates, and classical baselines (statistical models, gradient boosting). - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn't need roadmaps: moves independently and is comfortable with uncertainty. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - PhD / Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. - Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. - Hands-on experience training or fine-tuning LLMs, building agents and tool use, or models that combine text and time series. - Industry experience in energy, industrial operations, telecom or finance, or experience deploying models for industrial clients. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across different domains of cybersecurity, from vulnerability analysis to incident response and remediation. You’ll build the environments, training-data pipelines, and evaluations that make these capabilities real and measurable. You'll work closely with cybersecurity actors and real production data, as well as cross-functionally with science, engineering, and product teams teams to deliver high-impact, trustworthy AI for security. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. You might come from security with a genuine interest in AI science, or from AI science with a genuine interest in security, both paths fit. What matters is curiosity for the side you know less well, and the drive to go deep on it. WHAT YOU WILL DO - Develop, pre-train and post-train domain-specialized foundation models for agentic defensive security. - Work across a diverse set of complex real world problems to build the future of AI for cybersecurity. - Design evaluations and benchmarks that measure realistic security capability on customer-representative tasks. - Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows, and generate and curate the training data for training frontier models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Own technical delivery across project sprints and manage research communications with customer teams. ABOUT YOU - Fluent in English with excellent communication skills: at ease explaining complex technical to both technical and non-technical audiences. - Experience building harnesses, benchmarks or RL environments for code, agentic or security tasks. - Hands-on security background in one or more of: vulnerability research, exploit development, red teaming, or detection and incident response. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Mathematics, Security, Machine Learning). Exceptional candidates from other backgrounds welcome - Contributions to a large open-source or industry codebase. - Publications in top ML/security venues and/or contributions to open-source security or observability tools. - Experience working on large code bases or large machine learning models at scale. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

We are looking for a Senior Machine Learning Engineer to develop, deploy, and maintain machine learning and AI solutions for advanced financial data processing and reconciliation platforms. You will work with large and complex financial transaction datasets to build solutions for transaction matching, reconciliation, and exception handling.

Location: Remote We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you! Requirements 4+ years of experience in risk management, including 2+ years in crypto or digital assets; Bachelor's or Master's degree in Finance, Economics, Quantitative Finance, Mathematics, Engineering, or a related field; Solid understanding of market microstructure and how trading strategies generate and hold risk exposure; Practical knowledge of market risk metrics and methodologies - VaR/CVaR, stress testing, scenario analysis, P&L attribution; Proficiency in working with data (SQL), BI tools (Tableau/Grafana), and automating KRIs/reporting; Hands-on experience with crypto spot and derivatives markets; Knowledge of risk identification methodologies and practical application (SWOT, checklists, environmental analysis, expert assessment); Hands-on experience with crypto platforms and DeFi protocols; FRM, CFA, PRMIA, or similar certifications are a plus. Mindset & Soft Skills: Proactive and initiative-driven; Highly organized with strong attention to detail; Comfortable in a fast-paced environment; Excellent communication and negotiation skills; Balanced and pragmatic decision-making; Resilient under pressure; Strong mentoring mindset. Responsibilities Develop, implement, and own the risk framework, including risk appetite and exposure limits; Monitor market, liquidity, and counterparty risk; Monitor and analyze P&L and risk exposure, distinguishing performance drivers from risk exposure; Review risk parameters with the trading and quant teams; Conduct stress testing and scenario analysis to evaluate the resilience; Define and maintain Key Risk Indicators (KRIs) and early-warning systems; Prepare regular risk reports for senior management; Coordinate the work of risk analysts and provide mentorship; Support incident response and crisis management for trading-related events; Collaborate with Strategy, Ops, and Engineering teams to ensure comprehensive risk identification and mitigation planning. Working terms Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Brussels, Belgium We currently have a vacancy for a Data Scientist fluent in English, to offer his/her services as an expert remotely (within EU) . In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Tasks: Social media data scraping and analysis to study platform features impact on users; Evaluating the effectiveness of different recommender systems and algorithms on social media platforms; Designing and implementing experiments with sock puppets methodologies (account-based data collection) to test the impact of recommender systems on users; Designing and implementing data visualisations to communicate social media insights to stakeholders; Provide comprehensive project support throughout its lifecycle, including the development of work plans and timelines, meetings and stakeholder interactions, tracking of infrastructure requirements and resource allocation, monitoring of tasks progress against milestones and deliverables, and ensuring effective communication between technical teams and project leadership. Requirements University degree in IT or relevant discipline, combined with minimum 7 years of relevant working experience; Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleaning and data processing; Minimum 3 years of experience in statistical analysis, machine and deep learning model development, and model evaluation; Minimum 2 years of experience in account-based data collection, scraping, and working with large-scale datasets from digital or social media sources; Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation; Knowledge of machine learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face); Knowledge of web scraping tools and libraries, large scale data collection from social media platforms, including account-based methodologies (e.g., sock puppets); Knowledge of data engineering and data visualization tools; Knowledge of agile development methodologies and version control systems such as Git; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and documentation platforms such as Confluence and SharePoint; Certifications in Computer Science, Engineering, Statistics, Mathematics, or related field; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (21652/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Brussels; London; London OR Brussels Workplace: OnSite DeFi Quant Research Intern - Digital Assets Market Making Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across digital asset markets. Within the DeFi track, we focus on how blockchain mechanics, protocol design and on-chain market structure shape liquidity, execution and risk. As a DeFi Quant Research Intern, you will work alongside quantitative researchers, traders and engineers to study on-chain markets and support the development of data-driven trading strategies. You will analyse blockchain and market data, test hypotheses through backtesting and simulation, build research tooling, and investigate how real-world execution—including gas, transaction ordering, liquidity fragmentation and MEV—affects strategy performance.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with genuine hands-on DeFi experience. You should be curious about how protocols work beneath the interface and able to connect blockchain mechanics to market behaviour and trading outcomes. Key Responsibilities - DeFi Quant Research Intern - Research on-chain market structure by analysing liquidity, price formation, participant behaviour and execution across decentralized markets. - Study how protocol mechanics, transaction ordering, gas, slippage, latency and MEV affect execution quality and strategy performance. - Formulate trading hypotheses and evaluate them using blockchain data, market data, backtests and simulations. - Build reusable Python tools and data pipelines for research, monitoring and performance analysis. - Analyse relationships between centralized and decentralized markets and identify their implications for pricing, hedging and risk. - Support live strategies through monitoring, post-trade analysis and investigation of unexpected performance. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - DEFI QUANT RESEARCH INTERN - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis and comfortable with SQL, Git and command-line workflows. - Practical blockchain understanding: You understand transactions, state changes, gas, blocks, consensus and finality at a working level, and can reason about how smart-contract interactions execute on-chain. - DeFi market knowledge: You understand AMMs, concentrated liquidity, swaps, liquidity provision, oracles and liquidations, and how decentralized execution differs from a centralized order book. - MEV awareness: You understand how transaction ordering and block construction can create arbitrage, liquidation, backrunning and sandwiching opportunities or risks, and how these dynamics affect execution. - Hands-on curiosity: You have used DeFi beyond coursework or social media. Ideally, you have built or analysed something yourself—such as an on-chain dataset, trading or monitoring script, AMM simulation, protocol integration or research project. - Trading judgement: You naturally question whether an apparent edge survives fees, gas, latency, slippage, adverse selection and changing market conditions. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   NICE TO HAVE - Experience querying blockchain data through RPCs, indexers, subgraphs or analytics platforms. - Ability to read Solidity, contract interfaces and event logs. - Exposure to Rust or another systems programming language. - Familiarity with non-EVM ecosystems or Layer 2 execution models. - A technical project demonstrating sustained interest in DeFi or on-chain markets. Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Brussels; London; London OR Brussels Workplace: OnSite Quantitative Analyst Intern - Digital Assets Market Making (HFT) - Brussels Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge     The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across centralized digital asset venues. We study how order-book dynamics, fragmented liquidity, exchange design and participant behaviour shape pricing, execution and risk. As a Quantitative Analyst Intern within the HFT track, you will work alongside quantitative researchers, traders and engineers to analyse market and trading data, test hypotheses through backtesting and simulation, and build tools that improve strategy performance and risk visibility. You will investigate how fair value, liquidity, latency, queue position, fees and adverse selection affect real-world execution across venues.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with a detailed understanding of electronic markets. You should be curious about how exchanges work beneath the interface and able to connect market microstructure to trading outcomes. Key Responsibilities - Quantitative Analyst (HFT) - Analyse multi-venue top-of-book and depth data, trades, orders, fills and cancels to study liquidity, price discovery and execution quality. - Build and validate latency-aware, event-driven backtests with explicit assumptions around maker/taker execution, queue position, fill probability, fees and cancellations. - Measure spread capture, forward markouts, fees and adverse selection, and investigate how execution quality changes across venues, instruments and market regimes. - Build reusable Python tools and data pipelines using modern columnar analysis and SQL for strategy research, performance attribution and monitoring. - Study cross-venue price discovery, lead–lag relationships, fair-value construction and spot–perpetual basis while accounting for data staleness, instrument design and settlement-currency differences. - Support live strategies through PnL, inventory and exposure analysis, post-trade review and investigation of unexpected performance. - Evaluate liquidity-program economics by balancing execution quality, market share, fees and incentives, and work with traders and engineers to translate research into robust production improvements. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - QUANTITATIVE ANALYST (HFT) - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis, ideally including Polars or similar columnar tools, and comfortable with SQL, Git and command-line workflows. Experience with ClickHouse or another analytical database is valuable. - Electronic market structure: You understand limit order books, order types, maker/taker mechanics, matching and priority rules, spreads, market depth and how trades move prices. - Execution awareness: You can reason about the order lifecycle from signal to acknowledgement and fill, including exchange APIs, latency, queue position, partial fills, cancellations, fees, slippage and adverse selection. - Digital asset markets: You understand key differences between spot and perpetual futures, including basis, funding, leverage, liquidation risk, settlement currencies and residual exposure. - Quantitative reasoning: You are comfortable with probability, statistics, time-series analysis and evaluating noisy results without overstating significance. - Hands-on curiosity: Ideally, you have built or analysed something yourself—such as an order-book study, trading bot, exchange connector, backtest, execution simulator or market-data pipeline. - Trading judgement: You naturally question whether an apparent edge survives latency, fees, market impact, changing liquidity and real execution constraints. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   Nice to Have - Experience working with exchange WebSocket/REST APIs and asynchronous market-data pipelines - Exposure to Rust or another systems programming language - Experience with tick/order-book data, event-driven simulation or execution modelling - A technical project demonstrating sustained interest in systematic trading or market microstructure   Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Boston, Massachusetts, United States; Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to teams creating products, games and experiences enjoyed by fans around the world. One application. Many ways to play. Apply once to this general application for consideration for anticipated 2027 Summer Finance Internship opportunities in Boston, MA & Renton, WA. This is not one specific vacancy. Projects are confirmed on a rolling basis, and one application puts you in consideration across multiple opportunities with participating teams and brands. You do not need to submit separate applications for each team or brand. If your profile aligns with a specific internship project, a recruiter may contact you directly with details and next steps. Applying does not guarantee an interview or placement. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. Teams and areas you may support Depending on confirmed projects and business needs, your internship could align to one or more areas such as: Financial planning and analysis Accounting and controllership Treasury and capital markets Tax and compliance Commercial and brand finance Finance operations and transformation Examples of what you may work on Depending on your placement, you may: Analyze financial and operating data and translate findings into useful insights. Support forecasts, budgets, reconciliations, controls, reporting or cash-management activities. Build reports, dashboards or presentations that make performance and trade-offs clear. Research business questions, market practices or regulatory topics and summarize recommendations. Improve a finance process, control, model or recurring workflow. Collaborate with finance teammates and cross-functional business partners on a meaningful project. What you bring You are currently enrolled in a university degree program in Finance, Accounting, Economics, Business, Analytics, Mathematics or a related degree program. Analytical thinking, attention to detail and a commitment to accurate work Ability to explain findings clearly to different audiences. Comfort with spreadsheets and interest in learning financial systems or data tools. Curiosity about how finance shapes business choices and long-term value. Work samples: No portfolio is required. Relevant analysis, case competitions, student organizations or coursework may be highlighted. Find your party: your global intern community Level up together. All interns join one global cohort connected through shared, structured onboarding and weekly learning and development. Own meaningful work tied to real business priorities, with mentorship and feedback Build career skills through brand immersion and conversations with leaders Connect with peers through networking and social experiences Volunteer and give back alongside the intern community Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the internship. Undergraduate and graduate students are welcome to apply. We generally prioritize students entering the final year of their degree after the internship. Students at other eligible stages, including those with approximately two academic years remaining, are also encouraged to apply. Eligibility is based on program stage, not age. You can commit to the full program schedule and work model for the assigned location. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome; previous internship experience is not required. If this work excites you but you do not match every preferred skill, we still encourage you to apply. We value potential, curiosity, willingness to learn and different paths to the same capability. Program details Program dates and length: June - August (10–12 WEEKS) Schedule: Full-time, 40 hours per week Work model: Most internships follow a hybrid schedule with three days per week in the office. Select roles may require five days per week onsite. The project-specific schedule will be shared before interviews. Locations: Boston, MA & Renton, WA Opportunities may support Hasbro or Wizards of the Coast teams, depending on confirmed projects and business needs. Application deadline: APPLICATIONS WILL BE REVIEWED ON A ROLLING BASIS from October to March, as needed. Pay and benefits This is a paid internship. Hourly rates vary by degree level and year in school. A separate good-faith range is provided for each worksite. Renton hourly range: $34 - 38 Boston hourly range: $36 - 38 Relocation: Assistance is available to candidates who meet the applicable distance and other eligibility criteria. What happens after you apply Our Early Careers team reviews applications as internship projects are confirmed. If your profile aligns with a project, a recruiter will contact you with the specific team, project, location, work model, dates and pay. Selected candidates will interview with the hiring team. Timing may vary by project, so please keep your contact information and availability current. If another function more closely matches your skills and interests, we may consider you for it with your permission. You do not need to submit a duplicate application. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $34 — $38 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As Senior Operational Risk Analyst, you will be a core member of Capital.com's risk function, reporting to the Head of Risk Management. You will run the operational risk cycle across the Group's Cyprus-regulated investment firms: the risk register, the business-wide risk assessment, the RCSA, the operational risk event register, and relevant reporting. ICT and digital operational resilience under DORA sit alongside that work, with framework direction and regulatory sign-off set by the Head of Risk. Responsibilities: Operational Risk Framework and RCSA: Run the risk register, business-wide risk assessment and risk and control self-assessment cycles for each entity: collect and challenge first-line input, score likelihood and impact, assess control effectiveness, and carry each risk from inherent through to residual. Operational Risk Event Management: Maintain the operational risk event register: capture and classify events against the risk taxonomy, complete root-cause analysis, identify repeat patterns, and track first-line remediation through to closure. Operational Risk Reporting: Produce the monthly operational risk event report and the operational risk sections of the Risk Committee pack. Monitor key risk indicators against stated appetite and flag adverse trends before a threshold is reached. ICARA Contribution: Provide the operational risk input to the ICARA for each entity: loss data, scenario analysis, and the operational risk element of the additional own funds and liquidity assessment. Control Assessment and Testing: Test whether controls work rather than whether they exist: query platform and warehouse data directly to evidence risk positions, assess control performance, and substantiate event impact instead of relying on first-line summaries. DORA and ICT Resilience: Support delivery of the DORA programme across each regulated entity: maintain the ICT risk management artefacts, prepare the material for the ICT risk workstream, and track remediation actions through to closure, under the direction of the Head of Risk. ICT Incident Classification and Reporting: Prepare major-incident assessments against the DORA classification criteria. CT Third-Party and Outsourcing Risk: Carry out vendor and outsourcing risk assessments, prepare critical-or-important-function assessments, and track concentration across ICT service providers. Assurance Support: Prepare responses to internal audit findings, external readiness reviews and supervisory observations, assemble the supporting evidence, and track action dates with the owners. Cross-Functional Coordination: Work closely with Operations, Technology, Information Security, Compliance, Legal and Finance so that risk outputs land in the governance process and escalate on the right trigger. Requirements: At least 3 years in risk management within a regulated financial services environment, with a material part of it in operational risk: investment firm, bank, payment institution, or a consulting or audit practice serving them. Hands-on experience running operational risk framework cycles, including the risk register, business-wide risk assessment and RCSA, with likelihood and impact scoring, control effectiveness assessment and the inherent-to-residual step. Experience managing an operational risk event register: capture, classification against a taxonomy, root-cause analysis, and remediation tracking with first-line owners. Experience producing operational risk reporting and governance deliverables that reach a committee, a board or a supervisor, including key risk indicators measured against stated appetite, and readiness to own them as you grow into the role. Working knowledge of DORA (Regulation (EU) 2022/2554), with exposure to at least one area: ICT risk management artefacts, incident classification and reporting, ICT third-party risk and the register of information, or resilience testing. An organised approach to tracking regulatory developments across CySEC, ESMA and the EBA, and the ability to set out what a new rule means for the firm. A degree in a numerate discipline: economics, finance, mathematics, engineering or similar. CySEC Advanced certification, or willingness to obtain it, is an advantage, as is an operational risk, operational resilience or information security certification. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai Lead, you own how Sierra's AI agents come to life for our customers, from first pilot to a production agent handling thousands of conversations a day. We believe the best leaders stay hands-on and close to the work. You'll sit at the intersection of product, building agents, and customer-facing work, and stay just as close to the technology as you are to the people you build for and the team you lead. - Lead the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Our leads operate as ICs for their first 2-4 months at Sierra, then evolve into the lead role, all while continuing to take agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production. You'll both build directly and guide your team through the full lifecycle, coaching strategists to set and maintain the standard for ADLC best practices. You'll ensure agents launch on time, meet customer needs, and measurably move the customer's business. - Build the team as you build the business. You’ll take on two kinds of leadership: serving as the senior sponsor on our key customer deployments, and managing a team of strategists. You'll drive how the strategist function grows, from hiring and onboarding to defining what success looks like. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and actively build/shape the AI strategy that gets them there. You'll develop your team to do the same. - Guide delivery with the customer's working teams day to day. Run working sessions, troubleshoot agents as issues come up, and coach your team to make the calls that keep every build on track for launch. You'll be accountable for delivery quality and customer impact across your team's portfolio. - Shape the future of the product. Your team's direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to influence where Sierra goes next. What you'll bring - Customer obsession. Genuine energy being in front of customers, understanding their business and needs, thriving in complex organizations, and building trusted relationships, plus the ability to develop that muscle in others. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and guide teams through fast-changing, ambiguous environments. - A leadership style that comes from being hands-on. You blend high standards with empathy, fostering both speed and quality across your team. - Technical aptitude. Comfortable engaging directly with technical concepts (reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion). - Ownership and delivery. A track record of running, as well as leading teams that run, multiple complex, high-visibility projects at once and driving them to outcomes. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience, and/or an MBA or comparable experience at the intersection of technology and business. Even better... - Experience building or deploying AI/LLM agents in production, hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering), working closely with technical counterparts. - Background as a founder, product or strategy leader, or startup operator with high ownership and urgency. - Experience managing teams in product, consulting, solutions, or other customer-facing roles. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.