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Location: NYC, SF, Remote Workplace: remote About Brilliant   Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun – at scale. You can learn more about our approach, learners, and method on our about page.   We have always prioritized building a real, healthy business, and we make hires very selectively and intentionally. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions.   In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We’re here to do the best work of our lives together.   We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, high-trust team. We maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone. About half of us are located near our hubs in SF and NYC.   In addition to what’s below, you can see all open roles and learn more about our culture on our careers page. The Role   CS Learning Designers at Brilliant design interactive learning games to teach programming and algorithmic thinking. We’re hiring exceptional learning designers who can teach computer science concepts creatively using Python, as well as brainstorm new interactive experiences that bring the principles of algorithm design to life.   You will work in a small, nimble team to redefine the future of education. We especially encourage applicants with a strong background in computer science education to apply.   You will use your pedagogical instincts and taste to expand Brilliant’s library of CS learning games and achieve the best possible outcomes for our learners and our business. You will be joining a passionate and experienced team of entrepreneurial-minded people who are working to make a meaningful impact on the world.   To be considered for this role, please include your best example(s) of how you've taught computer science concepts interactively online. Responsibilities Develop hands-on programming courses to teach CS concepts using Brilliant’s Python learning game. Design new learning games — visual, puzzle-driven experiences that teach foundational principles in algorithms, data structures, and computational thinking. Decompose complex computer science ideas (e.g., recursion, backtracking, dynamic programming) into approachable, well-sequenced steps that empower learners to reason from first principles. Design content that is clear, creative, and intuitive — using interactivity to help learners build confidence and mastery. Build immersive, interactive learning experiences that guide learners along problem-solving journeys. Collaborate with product, design, and engineering teams to imagine and create new interactive features, visuals, and mechanics that elevate the learning experience on both computers and phones. You Have an undergraduate degree or above in a STEM field, and you’ve developed a strong grounding through research or teaching that extends beyond traditional curricula. You have used AI agents extensively for coding, and have an opinionated stance on what core concepts are important to teach in the world of agentic coding. Have a knack for teaching complex topics using a progression of clear, simple, hands-on steps. You have experience with building or using interactivity to motivate, engage, and challenge learners, including in asynchronous contexts. Have a way with words, especially when communicating challenging concepts, and your writing skills (in English) are top notch. Are great at context switching and prioritizing among a large workload. Have an openness to change and a willingness to experiment with formats and platforms. Are not afraid to jump into any aspect of a project to fill a vacuum, no matter how big or small. Compensation and Benefits   We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location!   Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills.   We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees.   We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices.   Our CCPA Privacy Notice can be found here. Plus stock options.

Location: Los Angeles, USA As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. Set direction for MLOps & modeling efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience. 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. Experience with Java, C++, Python, or similar languages in large-scale, production environments. Deep knowledge of MLOps & modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale. Experience collaborating across multiple teams, departments, and disciplines to create solutions. Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems. Desired Qualifications: Master’s degree in Computer Science or a related field, or equivalent experience. Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement. Experience with large-scale experimentation platforms and online evaluation frameworks. Experience leading full-stack teams. Experience leading distributed or remote teams. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. 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. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for an experienced Senior Software Engineer (Backend) to join our Core Experience global group and help build and evolve Fivetran’s Developer Experience platform. You will work on core developer-facing capabilities, including Public APIs, Terraform Provider, and Model Context Protocol (MCP) integrations, enabling customers and partners to automate, manage, and integrate with Fivetran at scale. In this role, you will design and deliver reliable backend services, improve API usability and consistency, and contribute to the evolution of our software architecture. You’ll collaborate with engineers, product managers, and other teams to build scalable solutions that simplify how developers interact with Fivetran. We value engineers who take ownership of their work, actively leverage modern AI-assisted development tools, and continuously look for ways to improve engineering productivity and software quality. This is a full-time position based out of our Serbia office in Novi Sad. Our hybrid work model offers a blend of remote flexibility and in-person collaboration Technologies You’ll Use Backend: Java, PostgreSQL APIs & Integrations: REST APIs, OpenAPI, gRPC, MCP, OAuth Infrastructure: Kubernetes, Docker, AWS, GCP Development & CI/CD: Bazel, Buildkite, Git AI-Assisted Development: Claude Code, GitHub Copilot, Cursor, or similar tools What You’ll Do Design, develop, and maintain backend services and APIs that power Fivetran’s Developer Experience. Build and enhance Public APIs, Terraform Provider, and MCP integrations, enabling customers to manage and automate their Fivetran infrastructure. Design reliable, scalable, and maintainable backend solutions, with a focus on API consistency, backward compatibility, security, and performance. Take ownership of features from technical design through implementation, testing, deployment, and production support. Collaborate with product managers, engineers, and cross-functional teams to translate product requirements into technical solutions. Contribute to architecture discussions, technical design reviews, and code reviews to maintain high engineering standards. Troubleshoot production issues, improve system reliability, and continuously enhance existing functionality. Actively use AI-assisted development tools for coding, debugging, testing, code reviews, and technical exploration to improve development efficiency and quality. Identify opportunities to improve developer workflows, engineering processes, and internal tooling. Skills We’re Looking For 5+ years of professional software engineering experience, with strong backend development skills, preferably in Java or Go. Strong understanding of software engineering principles, data structures, algorithms, and software design patterns. Experience designing, developing, and maintaining production-grade REST APIs and backend services. Experience building reliable distributed systems operating at scale and under strict availability and performance requirements. Ability to design maintainable software solutions, make sound technical decisions, and balance short-term delivery with long-term architecture. Strong troubleshooting and problem-solving skills, including diagnosing complex issues in production environments. Experience writing clean, well-structured, testable code and following modern software engineering best practices. Hands-on experience using AI-assisted coding and development tools as part of regular engineering workflows, with an understanding of their capabilities, limitations, and best practices. Ability to independently own and deliver complex engineering tasks while collaborating effectively with other engineers and stakeholders. Strong communication skills and willingness to participate in technical discussions, design reviews, and knowledge sharing. Bonus Skills​ Experience with Go Experience developing or maintaining Terraform Providers, Infrastructure as Code (IaC), or developer automation tools. Familiarity with Model Context Protocol (MCP), AI agents, or LLM-based integrations. Experience designing public APIs using OpenAPI specifications, including API versioning, authentication, and backward compatibility. Understanding of OAuth 2.0, identity management, and API security best practices. Experience with cloud platforms (AWS, GCP), Kubernetes, and cloud-native architectures. Experience building developer platforms, SDKs, CLIs, or other developer-facing tools. Experience with observability, monitoring, and performance optimization of distributed services. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: All Cities Workplace: Remote ABOUT US Mobile Wave Solutions is a professional services company specialising in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet the evolving needs of our clients. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. We are looking for a Senior Android Engineer for an exciting opportunity with a client in the fintech industry, working on innovative solutions to enhance customer experiences and streamline financial services. This role offers the chance to contribute to cutting-edge technology projects in a fast-paced, impactful environment. As a Senior Android Engineer, you will develop innovative Android applications and play a key role in mobile architecture and design, delivering outstanding user experiences. We expect engineers to demonstrate curiosity, passion, and a proactive mindset, with strong skills in algorithms, problem-solving, and building scalable, resilient, and crash-free Android applications. Effective communication is an attribute we care deeply about, as you and your team will collaborate in a fast-paced engineering environment to achieve outstanding results. DUTIES AND RESPONSIBILITIES - Architect, design, build, and deliver world-class Android applications. - Collaborate with engineers, product owners, and other colleagues to identify meaningful challenges and deliver business value. - Write clean, maintainable, and scalable code following Android development best practices. - Learn, grow, and mentor other engineers through code reviews and pair programming to accelerate their technical mastery. - Challenge existing team processes and identify opportunities for continuous improvement. - Contribute to and promote engineering standards and best practices, making a positive impact across the team. - Ensure application performance, stability, security, and reliability across supported Android devices and operating system versions. QUALIFICATIONS, SKILLS, AND EXPERIENCE - 5+ years of experience in software development. - 4+ years of professional experience in Android development. - Experience architecting, designing, building, and delivering high-quality Android applications. - Strong knowledge of the Android SDK and the Android application development ecosystem. - Strong proficiency in Kotlin and experience writing idiomatic, readable, and maintainable code. - Solid understanding of Android architecture patterns, design principles, and SOLID principles. - Experience customizing Android UI components, navigation, transitions, lists, and complex layouts. - Proven track record of designing and implementing high-quality, reliable, and crash-free Android applications. - Practical experience integrating RESTful APIs and working with asynchronous operations. - Experience with dependency injection, modularization, and building maintainable application architectures. - Strong problem-solving skills and a good understanding of algorithms and data structures. - Experience working with agile methodologies and collaborative software development practices. - Excellent communication skills in English, both written and verbal. ADVANTAGES - Experience designing and building highly reliable Android applications that serve millions of users. - Good understanding of Jetpack Compose and modern Android UI development. - Experience with Kotlin Coroutines, Flow, and reactive programming. - Experience with Android testing strategies, including unit, integration, and UI testing. - Experience with Gradle, build optimization, and CI/CD pipelines for Android applications. - Experience with Google Play Console and the application release process. - Experience with GraphQL. - Experience in the FinTech industry. - Experience in consumer lending or credit card issuing. OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Program – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Location: Brussels; London; London OR Brussels DeFi Quant Trader Intern (Credit) 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 (HFT), 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 Credit Desk IN OUR CREDIT & ON-CHAIN LIQUIDITY TEAM, WE DESIGN, DEPLOY, AND MANAGE CAPITAL ACROSS DECENTRALIZED LENDING PROTOCOLS, YIELD STRATEGIES, AND CREDIT FACILITIES. OPERATING AT THE INTERSECTION OF QUANTITATIVE FINANCE AND SMART CONTRACT RISK, THE CREDIT DESK IS RESPONSIBLE FOR OPTIMIZING YIELD, EVALUATING COUNTERPARTY AND PROTOCOL RISK, AND DEPLOYING PROGRAMMATIC CREDIT SOLUTIONS ACROSS DIGITAL ASSET MARKETS. AS A CREDIT DESK DEFI QUANT TRADER INTERN, YOU WILL WORK DIRECTLY WITH QUANT TRADERS AND CREDIT STRATEGISTS TO BUILD QUANTITATIVE RISK MODELS, AUTOMATE YIELD HARVESTING, ANALYZE ON-CHAIN LIQUIDITY POOLS, AND EVALUATE DEFI PROTOCOL MECHANICS. KEY RESPONSIBILITIES OF A DEFI QUANT TRADER INTERN IN THIS UNIT - On-Chain Risk & Credit Modeling: Develop and refine quantitative risk models to assess protocol health, collateralization ratios, liquidation risks, and smart contract vulnerability exposure across DeFi credit platforms. - Yield Optimization & Execution: Build Python-based tools and algorithmic models to analyze real-time yield curves, liquidity pool depth, and funding rate arbitrage across lending and borrowing protocols. - Data Analytics & Telemetry: Query on-chain telemetry, EVM event logs, and DEX/lending protocol data using SQL, Subgraphs, and Python to generate actionable insights for credit positioning and risk allocation. - Protocol Due Diligence & Forensics: Perform quantitative forensics and stress testing on emerging lending primitives, liquid staking protocols, and structured credit products prior to capital deployment. WHO YOU ARE/KEY REQUIREMENTS - Technical & Quantitative Skills: Strong code-first foundation in Python and SQL (with Git proficiency) for handling on-chain or EVM event data. Understanding of smart contract mechanics and DeFi primitive math (e.g., automated market makers, lending pool utilization curves, liquidation thresholds). - Quantitative & Trading Mindset: Rigorous background in a quantitative field (Math, Physics, CS, Finance, or Engineering) with a systematic/trading mindset. Ability to model yield dynamics, credit risk, backtesting strategies, and protocol insolvency scenarios. - DeFi "Skin in the Game": Hands-on experience interacting with decentralized lending protocols (e.g., Aave, Morpho, Compound, Maker/Endgame), yield aggregators, or credit markets. - Nice-to-Haves: Familiarity with Rust, Solidity, Foundry, or specialized credit risk models and backtesting frameworks. 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/

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: 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: (21652/11/2026). 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: Remote - Americas, Europe Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We’re looking for a Senior Software Engineer to design and ship autonomous execution for agents acting on Alpaca accounts. The same platform has to serve external algorithmic traders, partners building products on Alpaca, operators, and partners who embed Alpaca so their end users’ agents can act. You will design and ship account-level policy and the checks on the path in front of our trading and risk systems. You will work with the engineers who own our MCP servers, tools, and skills, and with the team that owns authentication and authorization. You will help Product, Compliance, and Risk shape the control model, and you will ship the implementation. This is a hands-on role. You will not manage people directly. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and the team that owns identity and authorization to define the control model. Broker risk controls stay with the teams that own them. Things You Get To Do: Lead the application architecture for safe agent execution, from the tool call through to our trading systems. Design and build the account-level policy and guardrails for external agent actions. Own the services that evaluate those rules on the path into our trading systems. Define how agent-initiated trading actions behave, with the engineers who own our tools and skills. Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into account policy, guardrails, and trading actions. Partner with Product, Compliance, Risk, and the identity platform to define the control model and ship it. Own production reliability for the policy and guardrail services. Review designs across teams and guide the technical decisions where agent actions meet brokerage systems. Mentor engineers and raise the quality of design and implementation in this area. Who You Are (Must-Haves): 5+ years of software engineering experience, building and operating production backend systems. Evidence of scope and ownership matters more than a strict year count. Shipped autonomous execution: software that took actions under an explicit policy without a person approving each action, and that rejected or stopped actions outside that policy. Designed and implemented account-level policy in an application: durable rules for what a caller may do, enforced on the action path, with an audit of the decision. Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production. Able to define, with Product, Compliance, and Risk, which account rules allow an unattended action. Proficiency in Python or TypeScript, and a willingness to work primarily in Go. Strong architectural judgment, with a record of shipping while requirements are still being defined. Clear communication with engineers, product, compliance, and risk partners. Who You Might Be (Nice-to-Haves): Experience with agent identity and authorization, such as OAuth, tokens, scopes, and delegated access, and comfort partnering with the team that owns that platform. Experience shipping developer-facing tools, SDKs, or MCP servers. Experience building agents with a framework such as LangChain. Experience or understanding of financial markets. Experience working at a startup. Experience working remotely. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. We're looking for a Product Manager to own Pricing within our Growth team across Deliveroo and Wolt! This role operates across 40+ markets in EMEA, and sits at the heart of our marketplace: Our fee strategy directly shapes consumer conversion, order frequency, PnL outcomes - and connects deeply to rider earnings and merchant economics across the Globe. You'll be responsible for building a pricing strategy and experimentation roadmap that grows revenue and profitability sustainably, without compromising the customer experience. This is a very high-visibility role. You'll partner closely with Leadership, Data Science, Engineering, Finance, Marketing, and Operations to design, launch, and iterate on pricing experiments across all markets, from delivery fee and service fee algorithms to 0-1 new ventures. You'll be expected to build a strong testing culture, translate ambiguous commercial questions into a rigorous experimentation agenda, and communicate results and trade-offs clearly to senior stakeholders. About the Team Our ambition is simple: make our platform an affordable, daily habit for all users. The Pricing team builds the systems and experiences that touch every single order — from delivery options to promotions, fees, and entirely new pricing models. Operating across 40+ markets, our work sits at the intersection of customer value, growth, and marketplace economics. Small changes at this scale can change how customers perceive us, how often they order, and the economics of the entire marketplace. We bring together consumer psychology, experimentation, data science, economics, and product craft to answer one deceptively difficult question: How do we make every order feel like great value while driving sustainable growth? What You’ll Do Own the end-to-end strategy and roadmap for a portfolio of global pricing products. Identify and launch major growth opportunities across affordability, conversion, frequency, revenue, and profitability. Drive 0 to 1 big bets through validation, launch, then scale them 100X. Partner deeply with Data Science and ML Engineering to design pricing algorithms, experiments, and scalable platform capabilities. Develop hypotheses, launch experiments, interpret results, and turn learnings into product strategy. Define the metrics and decision frameworks used to evaluate customer value, growth, and marketplace economics. Communicate strategy, results, and tradeoffs to senior leaders across DoorDash. What We’re Looking For You might be a great fit if you: Have significant product management experience building complex consumer, marketplace, growth, or monetization products. Are deeply analytical and comfortable using experimentation and data to make high-stakes product decisions. Are comfortable working closely with Data Science and ML Engineering on algorithmic or optimization problems. Can turn ambiguous commercial questions into clear and executable product hypotheses and roadmaps. Can operate as a “conductor” — aligning technical, operational, and business stakeholders and stitching together strategy, execution, and influence across teams. Why Join Us? At Deliveroo and Wolt, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Cluj Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As part of our team, you will contribute to building and evolving our cloud offering that enables clients to train, deploy and consume Machine Learning models at scale. You'll be part of our Document Understanding platform, creating and improving features that enable users to train custom models with their own datasets and leverage them to split, classify and extract meaningful data from documents. Furthermore, your work will directly impact the scalability, quality, performance, and reliability of our platform, ensuring seamless integration across diverse environments and products   WHAT YOU'LL DO AT UIPATH - You will develop robust and reliable components, identify bugs and bottlenecks and devise solutions to address these issues - You will use your problem-solving skills to develop and build code with performance in mind - You will use an engineering centric approach to solve complex problems in the document understanding space - You will work with teams across other locations to innovate and develop best- in-class document understanding solutions - You will maintain and improve the code quality, organization, and automation, by writing unit tests, integration tests and e2e automations   WHAT YOU'LL BRING TO THE TEAM - Proven track record (5+ years experience) of architecting and engineering world-class, large scale commercial applications and services. - Proficiency in one or more system level programming languages (C#, Java, Python, Rust etc.) and a willingness to learn new ones - Experience working with cloud ecosystems such as Azure, AWS or GCP - Experience with Docker, Kubernetes or other containerization technologies. - Strong understanding of object-oriented programming and architectural design patterns. - Good grasp of multithreading, synchronization, asynchronous, cloud programming. - Deep understanding of data structures & algorithms. - Familiar with modern engineering practices, including agile development, CI/CD and DevOps. - Ability work with globally distributed teams. - Effective teamwork, collaboration and communication skills   NICE TO HAVE: - Programming experience with .NET framework, C# - Familiarity working with documents and using OCR technologies - Familiarity with Windows Presentation Framework - Full-stack development is good to have #LI-NB1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Baku Workplace: onsite Responsibilities Develop and maintain robust, high-performance application functionality and services; Design and implement new features that enhance user experience and align with business objectives; Collaborate with product managers, designers, and other developers to deliver efficient, reliable, and scalable software solutions; Proactively identify opportunities to improve existing codebases, architecture, and processes; Conduct code reviews to ensure code quality, maintainability, and adherence to best practices; Contribute innovative ideas and technical insight to improve overall product design and system performance; Write and maintain comprehensive documentation for developed features, APIs, and modules; Participate actively in team development activities, sprint planning, and retrospectives; Ensure code quality through the creation of automated unit, integration, and functional tests; Stay up-to-date with emerging technologies and industry trends relevant to full-stack development. Requirements 3+ years of professional experience in backend development with Node.js (preferably with TypeScript ); 2+ years of hands-on experience in frontend development using React.js and related technologies (Redux, Hooks, etc.); Strong understanding of algorithms , data structures , and software design principles ; Solid knowledge of object-oriented programming (OOP) , design patterns , and modular architecture ; Experience with RESTful APIs , GraphQL , or microservice architectures ; Familiarity with CI/CD pipelines , containerization (Docker) , and version control (Git) ; Proven ability to write clean, maintainable, and testable code following best engineering practices; Experience with automated testing frameworks (Jest, Mocha, or similar); Excellent collaboration and communication skills in team-based agile environments ; Ability to read and understand technical documentation in English ; A proactive, problem-solving mindset with a focus on continuous learning and improvement.

Location: Москва Workplace: Гибридный О компании Мы развиваем платформу мониторинга для ПАО МТС и нам нужен эксперт, который будет развивать алгоритмы root cause analysis, корреляции аварий и поиска аномалий. Обязанности разрабатывать алгоритмы RCA – строить и внедрять методы корневого анализа причин (Root‑Cause Analysis) для аварийных сообщений и инцидентов; создавать алгоритмы корреляции событий, связывать события по времени, топологии сети, ресурсно‑сервисной модели, типу отказа и зависимостям между объектами; строить causal‑graph модели, формировать причинно‑следственные графы, использующие топологию сети и модели ресурсов/услуг для автоматического выделения первопричины; разрабатывать методы группировки аварий в инциденты, кластеризация/агрегация связанных тревог в единый инцидент; реализовывать детекторы аномалий и деградаций, выявлять отклонения в потоках событий, метриках и состоянии объектов, которые не покрываются статическими правилами; определять метрики качества и осуществлять шумоподавление, формирование KPI (precision/recall, false‑positive/false‑negative, уровень шумности тревог) и постоянное снижение дублирования и ложных срабатываний; прототипировать и выводить решения в production, быстро прототипировать, тестировать и совместно работать с командой платформенных разработчиков для внедрения алгоритмов в рабочее окружение. Требования сильная база в алгоритмах, математике, статистике, data science или machine learning; опыт работы с временными рядами, event streams, anomaly detection или correlation algorithms и понимание графовых моделей, деревьев зависимостей, причинно-следственных связей или topology-aware algorithms; опыт анализа больших объемов событийных данных; умение строить expl ai nable algorithms: система должна объяснять, почему конкретное событие выбрано как вероятная первопричина; опыт разработки на Python ; опыт с Kafka , Spark/Flink, ClickHouse , SQL БД, графовыми БД; cпособность быстро разбираться в предметной области и формализовать экспертные знания эксплуатации в алгоритмы. Условия БУДЕТ ПЛЮСОМ опыт в телекоме, мониторинге, NOC/SOC, эксплуатации сетей или инфраструктуры; опыт работы с аварийными событиями, инцидентами, ITSM-системами; знание методов causal inference, Bayesian networks, graph algorithms, clustering, sequence mining; понимание сетевой топологии, мобильной сети, транспортной сети, EMS/NMS-систем; опыт построения систем intelligent alerting, event correlation, AI Ops.

Location: Anywhere Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Every year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE We’re building something game-changing at Circle: a discovery marketplace where millions can find creators, communities, and products to help them achieve their highest personal and professional goals. You’ll own generating and growing the demand engine for the Discover marketplace https://circle.so/discover. Think of a Pinterest, Reddit or Instagram-style product, reimagined with a mission to help people achieve their goals instead of distracting them with endless doom scrolling. Through Discover, you will be building technology that could help millions of people grow, self-actualize, and live their best lives. As the Growth Lead for Discover https://circle.so/discover, you’ll report directly to the GM of Discover and work closely with Circle's co-founders to bring this vision to life. Day to day you'll work with the product team for Discover, our paid media team, data team, brand and design studio, lifecycle marketing, partnerships, and more. This is a fully remote role, open to candidates in any North American time zone. WHAT YOU'LL BE DOING - Own growth for the Discover marketplace. Drive traffic to Discover, experiment with how consumers find and engage with Discover, and grow its GMV and transaction volume. - A/B testing and experimentation. Run experiments to better acquire, engage, and retain traffic. Test what people see when they arrive on Discover, the algorithms behind recommendations, and marketplace structure. - Build Circle's end-to-end lifecycle email programs. Build the acquisition funnel for Discover by setting up a recommendations newsletter, creating offers to acquire subscribers, and developing email programs to turn visitors into repeat buyers. - Build an SEO program. Grow Discover's organic surfaces and SEO / AEO across product pages and distribution partnerships with the creators already building on Circle. - Drive creator success on the marketplace. Help creators listed on Discover succeed by sending them buyers who convert and stay, diagnosing which categories generate traffic but underconvert, and applying those learnings across the marketplace. - Build the team's reporting. Track funnel performance by category, cohort retention of Discover-sourced members, and what individual creators earn from the marketplace, and own reporting on performance and recommendations to leadership. - Help shape and execute Discover's growth strategy. Partner with the GM of Discover and co-founders to shape growth priorities and collaborate with the product team to evolve the product. WHAT YOU'LL NEED TO BE SUCCESSFUL - A track record of owning a revenue or GMV number across multiple channels at one time, where you were able to grow the number and deliver real results. Ideally, you can walk us through what moved the number, what worked, and what you got wrong. This matters a lot more to us than your title or how many years you've been doing this. - Experience with email and lifecycle marketing, including building a program from scratch. You should have a clear view of what it should be judged on beyond opens and clicks. - Experience acquiring email subscribers profitably and growing their value over time. This mechanic is going to be key here: bring someone in for less than they'll eventually spend, then earning more from them by delivering real value to both them and the creator. - Comfortable being hands-on as a player-coach. This includes writing the emails, building the pages, talking to the creators, setting up reporting, and reading the results yourself. - Deep understanding of marketplaces and/or businesses with strong network effects. Ideally, you’re someone who obsesses about marketplace network effects, and shows strong judgment and opinions on growing the demand side of a marketplace. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Exceptional written and verbal communication skills in English (CEFR C2 or equivalent https://englishonline.britishcouncil.org/free-english-level-test-cefr-2/), as most collaboration at Circle happens asynchronously. COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: London, United Kingdom Workplace: remote We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 80 200 gross Final benefits may vary depending on the location.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Architecting the sub-millisecond decision engine that powers 200 million daily ad interactions   The Demand Core team and backend platform squads build the foundational infrastructure that determines which of our thousands of active advertising campaigns are relevant to a user the moment they open Playtime. At our scale, system latency is a business failure: downtime means advertisers stop spending, users stop earning rewards, and publisher revenue stalls. As a Staff Backend Developer, you will own the architectural integrity, reliability, and long-term evolution of the distributed systems that power these decisions 200 million times every day across multiple teams. Go microservices load the active ad campaign catalog into memory, evaluating 40+ targeting constraints and 30+ real-time signals like geo, fraud status, budget caps, to rank potential user performance in milliseconds. Beyond individual services, you will define architectural patterns across the entire ad interaction chain: high-throughput processing of clicks, views, MMP postbacks from Adjust and AppsFlyer, and reward-triggering in-app events. You will govern our hybrid messaging architecture using SNS/SQS and Kafka, standardize backend data patterns across DynamoDB, relational, and analytical data stores, and ensure our core ad scoring pipelines remain resilient under massive load.   Your Mission & Who We Are Looking For:   - Production Golang Systems & Architecture Mastery: You bring extensive backend development experience (7+ years, with deep production Go expertise in distributed environments). You will define service boundaries, concurrency models, and runtime optimizations for our +99% Go microservice architecture, scaling the platform reliably beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming & Architecture Patterns: You have deep experience architecting and standardizing asynchronous microservice communication using event backbones like Kafka, SQS/SNS, and Kinesis. You will establish org-wide streaming standards, schema evolution, and CDC patterns to process billions of daily API events and aggregate them into our data lake for sub-second querying. - Large-Scale Data Architecture & Platform Optimization: You understand database internals, distributed storage trade-offs, and low-level web standards. You will standardize data patterns (sharding, replication, DR) across hundreds of terabytes in DynamoDB, MySQL, Druid, and Athena, while leading high-stakes, zero-downtime database migrations and deprecations. - Data Science & Algorithmic Integration at Scale: You quickly grasp complex technical topics, distributed systems trade-offs, and applied mathematics. You will partner with our Data Science team to architect the runtime infrastructure that serves predictive models and machine learning algorithms directly within our sub-millisecond real-time ad targeting engine. - Technical Leadership & Organizational Leverage: You communicate fluently and precisely in spoken and written English. You drive alignment across squads through RFCs and Architecture Decision Records (ADRs), define org-level SLIs/SLOs, sponsor major technical migrations, and mentor Senior engineers across an international engineering team. - Plus: Cloud Resilience & Tooling: Hands-on experience with continuous profiling (e.g., Pyroscope, goroutine dumps), chaos engineering drills, and infrastructure automation using Terraform, Kubernetes, or AWS cloud networking. ‌ 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   What’s in It for You?   At adjoe, you’re not here to just close JIRA tickets, you’re shaping the architectural foundation behind one of the most impactful platforms in adtech. The systems and patterns you design will reach hundreds of millions of users and power billions of decisions every day.   - Go Big. Own the technical direction and platform architecture with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, establish golden paths that unlock engineering speed, and keep momentum. - Be Direct. Solve complex architectural bottlenecks openly and drive alignment across cross-functional teams. - Thrive Together. Grow with and elevate a diverse, global team of engineers from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, solve hard computer science challenges, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Lviv Workplace: remote ELEKS Software Engineering and Development Office is looking for a Trainee / Junior PHP Developer in our offices in Ukraine. Our project is a German event management and marketing platform that helps customers create events with different ticket categories, sell tickets, analyze event performance, and collect feedback from organizers. Our client works with large companies that organize conferences, trade fairs, and other corporate events. REQUIREMENTS Understanding of programming fundamentals and how software is built Basic knowledge of PHP 8.4 and object-oriented programming; hands-on PHP experience is a plus but not mandatory Openness to learning PHP with Laminas or writing backend code in Node.js Basic understanding of relational databases and SQL; familiarity with MySQL 8.4 or PostgreSQL 14 Basic understanding of REST APIs Familiarity with Git and Composer Some hands-on experience with AI tools for software development Ability to use AI thoughtfully: define tasks and acceptance criteria, review and test AI-generated output, and refine it where needed rather than copying it without verification Interest in a full-stack role and willingness to work across both backend and frontend development Upper-Intermediate level of English WOULD BE A PLUS Familiarity with TypeScript and Angular 21 Experience with PHP or another backend language Basic knowledge of Docker Familiarity with PHPUnit and test writing Interest in AWS services such as S3 or SQS Basic knowledge of NoSQL databases, such as DynamoDB Familiarity with Swagger/OpenAPI, Propel ORM, or microservices Experience working with third-party APIs, such as PayPal or Google Analytics RESPONSIBILITIES Conduct a simple range of programming tasks including analysis, coding, and debugging of complex program logic Conduct test procedures by using testing, and debugging programs Develop algorithms according to technical specifications or other requirements documentation Use standard algorithms in the applicable cases Write program code according to the defined application architecture Structure and format source code, comment and mark up the code, as well as name variables, functions, classes, data structures, and files according to the company conventions and industry best practices Track changes, compare source code in the defined version control system Agree task deadlines with Senior Developer or Technical Leader WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with a low level of bureaucracy