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Location: London Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking an experienced Algo Trading / Head of Execution to join our team. You have a proven track record of building and benchmarking execution algorithms. Ideally, you’ve been actively engaged with the crypto markets or have a strong curiosity about them. In this role, you will take the lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and lead the development of a low-latency, high-throughput Algo Trading / Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders, and product managers to refine routing logic and build new algorithmic capabilities Integrate the SOR with the trading, booking and reporting stack Monitor and optimize system performance under real-world trading conditions Mentor junior developers, enforce code quality standards, and contribute to architectural decisions Provide support for production trading issues and continuously improve system resilience and failover mechanisms What We’re Looking For: 10+ years of experience developing routing strategies for specific markets (e.g., U.S. equities, EU markets, crypto exchanges) Knowledge of tick data analytics and real-time market data processing Familiarity with cloud-based market access or hybrid deployments Experience working in high-frequency or algorithmic trading environments Experience building low-latency systems and working with multicast/unicast market data feeds A solid understanding of the application stack and infrastructure associated with electronic and algorithmic trading Strong technical background, with the ability to understand system architecture and technical workflows Proficiency in FIX protocol and trading system architecture (OMS/EMS, market gateways) Familiarity with concurrency, networking, and memory management Experience with Linux systems and performance profiling tools A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment Bonus Points: Deep understanding of electronic trading, order types, and market microstructure (equities, options, FX, Crypto etc.) Experience in the DeFi, or crypto space Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote We are looking for a Software Developer , preferably with commercial experience in low and ultra-low latency projects to join our dynamic team. The ideal candidate will demonstrate intelligence, steadiness, and thoughtfulness, with strong attention to detail and a passion for streamlining business processes. They should be naturally curious, approach problems with a continuous improvement mindset, and remain flexible in seeking ever-better solutions. WHAT YOU’LL BE DOING: Implementation of complex computational algorithms on GPU and CPU with demanding latency and throughput requirements Refactor existing solutions to improve their scalability WHAT WE LOOK FOR IN YOU: Commercial experience in developing and debugging high-performance GPU and CPU applications with strong focus on latency and throughput Hands-on experience with third-party libraries and designing custom CUDA kernels Proficient with profiling and performance analysis tools (Nsight Systems, Nsight Compute, nvprof) Solid understanding of data structures, algorithms, and object-oriented programming in C++ Proven ability to work effectively in remote or hybrid teams with variable, project-based responsibilities Curiosity and proactive engagement with emerging trends in GPU/HPC/ML, continuously seeking to learn and apply new techniques NICE-TO-HAVE: In-depth knowledge and expertise in low-latency and real-time development, achieving sub-microsecond latency Experience with lock-free data structures and associated design patterns Proficient in C programming, including writing Linux drivers and working with kernel-level components Strong understanding of Linux system internals and networking Knowledge of memory optimization techniques (shared memory, registers, coalesced access, persistent kernels) Experience with inference optimization frameworks WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Remote As an IT Compliance Manager , you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context. We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: ICT implementation reviews and compliance sign-offs Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation ICT Implementation and Technology Compliance Lead compliance oversight of ICT implementations and technology projects Review and approve technology changes from a compliance perspective Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements) Collaborate with technology teams to embed compliance controls in system architecture Oversee compliance aspects of system development lifecycle (SDLC) Ensure proper documentation and audit trails for all technology implementations Regulatory Expertise and Incident Management Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction Act as a compliance liaison for technology and trading teams Participate in and respond to regulatory examinations and inquiries Present compliance metrics and project updates to stakeholders WHAT WE LOOK FOR IN YOU: Education and Certifications Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s or JD preferred) Relevant professional certifications (e.g., ITIL 4, ISO/IEC 27001, CISA, CRISC) Demonstrated experience in technology compliance and ICT implementation oversight Technical Knowledge Strong background in technology compliance, including: ICT governance and control frameworks Algorithm development and testing requirements System change management processes Technology audit and compliance testing Experience with order types, market data, and execution venues Knowledge of regulatory technical standards for electronic trading Skills and Competencies Proven ability to interpret complex regulations and apply them to HFT operations Strong project management skills with experience leading complex, cross-functional initiatives Excellent analytical and problem-solving abilities Outstanding written and verbal communication skills Ability to work both independently and collaboratively within a team environment Experience managing multiple projects and priorities simultaneously Strong stakeholder management and influencing skills NICE-TO-HAVE: Previous experience at a proprietary trading firm or HFT-focused organization Technical certifications (CISA, CISSP) or technology audit experience Experience with DevOps compliance and continuous integration/deployment environments Knowledge of cloud infrastructure compliance requirements Programming skills (Python, SQL) for data analysis and surveillance WHY YOU SHOULD JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 1–5 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals no ego, no politics We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Pension contribution and medical cover Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Paris; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements. Enterprise Governance & AI Control Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security. Access Control & Identity Management Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance. Compliance Automation Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%. Success Metrics Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows. Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management. Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days. Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails. Requirements Qualifications / Experience / Technical Skills Essential Experience 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management. Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks. Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX). Experience with policy-as-code implementation and enterprise integration patterns. SQL proficiency for governance analytics and compliance reporting. AI & Modern Governance Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement. Knowledge of agentic AI systems and autonomous workflow governance challenges. Familiarity with emerging AI regulations and their impact on enterprise software platforms. Leadership & Execution Track record of shipping governance features that scaled to thousands of enterprise users. Experience collaborating with security teams, compliance officers, and IT administrators across global organizations. Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics. (REQ ID: 2248)

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Bulgaria; Croatia; Czechia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Ukraine Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between. About the role We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Requirements: Experience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. Communication : Strong verbal and written communication skills to collaborate effectively within a team. Bonus points Cloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. MLOps Tools : Familiarity with MLOps tools like MLflow or Feast. OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities: Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. Collaborate : Work closely with cross-functional teams to align data science projects with company goals. Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, remote-first global environment. Equity options. Private health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote #LI-Remote

Location: Riyadh, Saudi Arabia Join Müller's Solutions as an AI / Computer Vision Engineer and be part of a dynamic team that is transforming industries through advanced technology. In this role, you will design, develop, and implement computer vision and AI models that address complex challenges and drive innovation in our products and services. Key Responsibilities: Develop and deploy state-of-the-art computer vision algorithms for various applications. Collaborate with product teams to understand requirements and translate them into technical specifications. Analyze large datasets to extract insights and improve model performance. Test and validate AI solutions to ensure high accuracy and reliability. Participate in code reviews and contribute to best practices in software development. Keep abreast of the latest advancements in AI and computer vision and integrate relevant technologies into existing systems. Research and present findings on new methodologies and approaches in the field. Requirements Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Proven experience in AI and computer vision technologies, including deep learning frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with OpenCV. Experience with data handling, preprocessing, and training machine learning models. Solid understanding of algorithms and data structures. Familiarity with cloud computing platforms and tools. Exceptional problem-solving skills and the ability to work in a collaborative environment. Strong communication skills to effectively convey complex ideas to both technical and non-technical stakeholders. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Global Workplace: Remote Job description Our core mission at Railway is to let developers create, ship and operate software with minimal friction. Fundamental to that mission is an array of rock-solid and composable primitives, principal among these - storage. As a Storage Engineer you will build, evolve and operate the systems that allow Railway to host stateful workloads. Railway operates across multiple colocation datacenters and large fleets of cloud VMs. This demands we build high-availability primitives that “work anywhere” and that can migrate between different environments with minimal (ideally zero) downtime. Moving storage is the hardest challenge in this task, and it has required us to invest in building custom systems from first-principles. You will principally be working on our new log structured block-storage system that is designed for performance, high-density and high-availability across cloud and baremetal environments. Want to learn about our work culture? Here is a three-part blog series that will help you see the unique ways our team works (Parts 1 https://blog.railway.app/p/how-we-work, 2 https://blog.railway.app/p/how-we-work-volume-ii, 3 https://blog.railway.app/p/how-we-work-volume-iii, and 4 https://blog.railway.com/p/how-we-work-volume-iv). Curious? Here are 3 blog posts that dive into exciting projects this team has worked on: 1 https://blog.railway.com/p/launch-week-01-scale-to-zero, 2 https://blog.railway.com/p/data-center-build-part-one, 3 https://blog.railway.com/p/data-center-build-part-two ABOUT THE ROLE For this role, you will: - Lead the development of Railway's block storage systems - Support the operation of storage systems and participate in on-call rotations - Drive the specification of storage server hardware - Build systems to support capacity planning - Design and build interfaces with orchestration services to support coordinated workflows such as on-line backups and zero-downtime/live workload migration - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success - Set the longer-term architectural direction to scale the platform This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU You should meet one or more of the following requirements: - You've built and operated distributed storage systems and have a strong grasp of first-principles. - You have strong systems engineering experience in one or more of: filesystems, block devices, kernel I/O paths, SPDK, io_uring, vhost-user-blk, ublk or virtualization - You have a deep understanding of the algorithms and techniques behind building fast, performant and reliable storage systems. - You have experience building large distributed systems where consistency and availability was critical. - You have a strong background in performance engineering at the I/O layer on Linux. - You have strong foundation in systems programming with Rust. - You're comfortable owning a problem alone at a small company. - You have a solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18 months. - You have the grit to dive into a problem, implement a solution, scale that solution, and replace it when needed. - You communicate well enough to get your point across, your solution implemented, and documented for when you're not around. If your background is in adjacent infrastructure (hypervisor I/O, kernel development, distributed systems, persistent memory) and you want to apply that depth to storage, we want to hear from you. We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.app/careers/full-stack. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process: 1. Talk with us about the role - This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2. Work on a small project to discuss in the interview - Asynchronously implement the following: - Pre-interview: Design a Storage Engine to power something like Railway's Volume - You can, and SHOULD! ask us questions ahead of time. 3. Review your solution with the Team 1. You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. 1. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 2. Interview Structure (60 Minutes): 1. Prework (submitted before your interview): Complete your solution 2. 0-5m: introduction 3. 5-50m: Building (or expanding) your solution 4. 50-60m: Questions on Railway/Tech/etc 4. Meet the Team 1. You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. 1. Looking for: How you work with the rest of the team and communicate. 5. Offer and Details Chat with CEO 1. Finally, we will go over the process, the role, and hammer out the details about your position, onboarding, and all the deets. #Global

Location: Belgrade; London; Berlin We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities - Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. - Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. - Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. - Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. - Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications - Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. - Experience with large-scale web crawlers is highly desirable. - Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. - Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. - Demonstrated passion for writing clean, efficient, and scalable systems.

Location: Belgrade; London; Berlin We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities - Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. - Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. - Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. - Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. - Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications - Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. - Experience with large-scale web crawlers is highly desirable. - Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. - Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. - Demonstrated passion for writing clean, efficient, and scalable systems.

Location: Greenwich DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team We are a fast-moving and progressively-thinking team that intimately collaborates with traders and quantitative researchers to implement, refine and deploy alpha signals, evaluate and maintain trading tools, improve our research pipeline, while ensuring that our code bases remain nimble, maintainable and extensible. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. About the Role As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will: Work directly with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Embed with trading desks, work intimately with traders and portfolio managers, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Collaborate with other engineering teams to accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack on a continuous basis What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field A minimum of 2+ years’ experience using Python in a production setting A strong understanding of quantitative finance and mathematics Experience with linux-based, large-scale, concurrent, high-throughput, low-latency software systems A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus Experience with functional programming is a plus This role will be for our Greenwich, CT office. The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Limassol; Athens; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role:  We’re looking for an Angular Developer - Team Lead to guide and grow a high-performing front-end development team. In this role, you’ll combine hands-on Angular development with leadership responsibilities, ensuring your team delivers robust, scalable, client-facing applications. You’ll actively shape the technical direction, enforce coding standards, foster a culture of engineering excellence, and coach developers to reach their full potential.   This is an exciting opportunity to lead technically challenging projects, drive modern development practices, and collaborate with cross-functional teams to deliver impactful digital products. The main responsibilities of the position include: Lead the team’s Agile delivery process, from task allocation and sprint planning to retrospectives and cross-team coordination Design and develop advanced, scalable front-end applications using the Angular framework Set individual goals for team members, regularly monitor progress, and provide constructive feedback Champion clean, maintainable code, modern architectural patterns, and performance optimization techniques Conduct and supervise code reviews to ensure technical consistency, code quality, and adherence to company standards Provide technical guidance, mentorship, and career development support to team members Actively promote team morale and engagement, creating an environment where people are motivated and empowered to perform at their best Collaborate with Team Leaders, Architects, Product Owners, and UX/UI teams to align on product vision, architecture, and delivery priorities Influence system design, technical direction, and the selection of front-end technologies Monitor and maintain the health of front-end applications, proactively addressing performance, scalability, and security issues Define and enforce coding standards, development workflows, and front-end best practices within the team Main requirements: BSc/MSc in Computer Science, Engineering, or a related field Minimum of 6 years of experience in JavaScript development, with strong expertise in Angular 1–2 years in a leadership or technical lead role, preferably in an Agile environment Deep understanding of front-end architecture, lifecycle, and scalable design Solid grasp of algorithms, data structures, and OOP principles Proficient in Git, HTML, SCSS, and REST API integration Strong communication and leadership skills, with experience mentoring developers across all levels Skilled in leading technical discussions, code reviews, and driving continuous improvement Solid understanding of front-end performance optimization, scalability, and security best practices Strong cross-functional collaboration skills The following will be considered an advantage: Experience with Tailwind CSS Experience with the Ionic Framework Familiarity with AWS services Familiarity with Capacitor Contributions to open-source projects, technical blogs, or public speaking engagements Working knowledge of Node.js . Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Bring It to Life – Role-Specific Take-Home Task Deep Dive – First Interview with Your Future Team Test your edge – Aptitude / Personality Assessment Get Closer – Second Interview with the Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Remote The Senior Compliance Manager will lead critical compliance projects and initiatives within our compliance framework. This role requires deep expertise in financial markets regulations, strong project management skills, and the ability to work effectively in a fast-paced environment. We’re looking for someone highly self-sufficient and accountable, someone who completes their work reliably, takes ownership, stays focused, and quickly picks up on context while maintaining a low operational footprint and minimal need for oversight. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Regulatory remediation projects and control enhancements Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation Regulatory Compliance Management Own compliance responsibilities for assigned areas which may include: Specific geographic regions (e.g., APAC markets, European venues) Regulatory domains (e.g., market conduct, transaction reporting) Deep expertise in relevant regulations such as: US: SEC Rule 15c3-5 (Market Access Rule), Reg NMS, Reg SHO, FINRA rules Europe: MiFID II/MiFIR, MAR, EMIR Asia: Jurisdiction-specific regulations in Singapore (MAS), Japan (HST), and other relevant markets Regulatory Reporting and Filings Oversee all regulatory reporting requirements including: Transaction reporting (CAT, TRACE, MiFID II transaction reporting) Position reporting and large trades reporting Regulatory capital calculations and reporting Manage regulatory examinations and inquiries Prepare and file required regulatory documents and notifications Stakeholder Management Serve as compliance point of contact for assigned business areas or projects Participate in regulatory examinations and inquiries related to your areas of responsibility Present project updates and compliance metrics to stakeholders WHAT WE LOOK FOR IN YOU: Education and Certifications Bachelor's degree in Finance, Law, Economics, or related field (Master's or JD preferred) Relevant professional certifications (e.g., Series 7, 24, 57, or international equivalents) 7-10+ years of compliance experience in financial services, with at least 3 years in electronic or algorithmic trading Skills and Competencies Proven ability to interpret complex regulations and apply them to HFT operations Strong project management skills with experience leading complex, cross-functional initiatives Excellent analytical and problem-solving abilities Outstanding written and verbal communication skills Ability to work both independently and collaboratively within a team environment Experience managing multiple projects and priorities simultaneously Strong stakeholder management and influencing skills NICE-TO-HAVE: Previous experience at a proprietary trading firm or HFT-focused organization An understanding of trading strategies and their regulatory implications Experience with regulatory bodies and participating in industry groups or forums Experience with regulatory reporting and compliance tools specific to the trading industry Demonstrated leadership in regulatory change projects WHY YOU SHOULD JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization — applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy — you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 2-7 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals — no ego, no politics We hire people who love building, solving, and improving — and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation with strong upside based on contribution and performance, comprehensive benefits package. Free lunch ordered to the office every day. Opportunity to work with cutting-edge technology in a challenging and rewarding environment. Chance to make a significant impact on the firm's trading performance. Collaborative and intellectually stimulating work environment. Competitive Annual Leave and Pension Contribution High-spec office with state of the art equipment and standing desks Monthly team breakfast Regular London onsites with focus groups in different business coinciding with team dinners and evening events Annual Company Offsite in luxury location Inter-office travel encouraged to promote the Selini culture and cross-business unit collaboration

Location: Sydney, Australia At Riot, we believe in putting players first. Our Sydney-based team works closely with teams across the globe to build next-generation features and technology for an exciting Unpublished R&D Title. Whether contributing to backend architecture, developer-facing tools, or player-focused features, we craft the systems that drive performance, scalability, and engagement. As a Staff Software Engineer (P4) , you’ll take technical ownership of key areas within our workstreams. You’ll contribute across the development lifecycle — designing scalable solutions, mentoring teammates, and collaborating cross-functionally to ensure that player and developer experiences meet a high quality bar. As Software Engineers at Riot, we bring deep knowledge of specific technical areas and also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. You will report to an Engineering Manager supporting the R&D Game Team. This is a full-time role that can be based in Sydney or performed remotely from elsewhere in Australia . Responsibilities: Lead the design and development of scalable, performant foundational systems around build, release, delivery & the related tooling. Drive technical discussions and decision-making across services, engine, and/or tooling components. Collaborate with producers, QA, and fellow engineers to scope, implement, and test game features. Champion engineering best practices, including code quality, automated testing, and maintainable architecture. Debug complex issues in development and live environments, with a player-first mindset. Contribute to team health through mentorship, documentation, and cross-disciplinary collaboration. Proactively identify technical risks and bottlenecks, proposing pragmatic and innovative solutions. Give feedback to product leaders about product direction and player affinity Required Qualifications: 6+ years of professional experience in software engineering, including experience delivering live or shipped products. Expert proficiency with C++ and deep knowledge of software engineering fundamentals (data structures, algorithms, concurrency). Experience building systems in a cross-functional team and contributing to cross-team architecture discussions, including contributing to central tech. Strong debugging and problem-solving skills in both development and live environments. Ability to write clear, maintainable code and communicate technical concepts effectively across disciplines. Experience building games Desired Qualifications: Bachelor’s degree in Computer Science or equivalent experience. Experience working with Unreal Engine. Familiarity with systems such as scalable services, build & release pipelines, or telemetry. Experience with version control systems like Perforce or Git. Prior experience working on global-scale game development or online services. For this role, you'll succeed through craft expertise and a collaborative spirit that prioritises the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Working closely with Riot teams globally, Riot Sydney is a powerhouse of talent, and experts in global development. Our team works on VALORANT, League of Legends and Teamfight Tactics, alongside exciting R&D and Tech projects. If you believe that the Player Experience comes first, we want to hear from you. Our players are a diverse group from different backgrounds, and we want to see that reflected in the people who make our games, all qualified applicants will be considered for employment Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.