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Location: Vilnius Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. What additional skills will help you stand out? Experience in gaming, entertainment, or consumer product analytics Experience with AB testing platforms and experimentation best practices Experience working with Snowflake, Cloudera Impala / Hive, Oracle SQL Knowledge and practical application of machine learning algorithms Rich gaming experience in different games and over 1000 World of Tanks battles Work mode Hybrid (2-3 days of work from the office) The salary range for this role in Vilnius is EUR 4500-5600 monthly gross. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include: Additional paid time off Sick Leave Compensation Pregnancy and Childbirth Leave Benefit Career development and education opportunities within the company Meal Allowance Premium Private Health Care Mental well-being program (iFeel) Perks discounts platform (over 450 exclusive discounts) Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Luxembourg About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Autonomous Racing builds the driving software for a full-size autonomous race car. We race in the A2RL (Abu Dhabi Autonomous Racing League). We also work with automotive partners to transfer our technology to road cars. Our R&D projects include emergency obstacle avoidance, ADAS and an AI driving coach (Racing Coach). About the Role We're looking for a Motion Planning & Control Engineer to join our autonomous racing team and help develop the algorithms that enable a full-size race car to navigate the track autonomously at high speeds. In this role, you'll work at the intersection of control theory, robotics, and vehicle dynamics, developing and optimizing motion planning and control algorithms for real-world racing conditions. You'll be involved throughout the development cycle, from mathematical modelling and simulation to implementation, testing, and validation on the actual race car. You'll work closely with the engineering team to improve vehicle performance, stability, and reliability, with opportunities to see your solutions tested during track sessions and international racing events. Beyond autonomous racing, you'll also contribute to transferring our technology into real-world automotive applications, including advanced driver assistance systems and emergency obstacle avoidance. What you'll do Develop and optimize advanced motion control algorithms, focusing on nonlinear Model Predictive Control (MPC), using C++ and ROS 2 to ensure reliable, real-time performance on our autonomous race car. Design, develop, and validate vehicle dynamics models, including system identification, to support accurate motion control, trajectory planning, and simulation. Contribute to the development and improvement of motion planning algorithms, including MPC-based path planning, Model Predictive Path Integral (MPPI) control, and zone-based planning approaches. Validate and refine algorithms through simulation and real-world testing, ensuring a smooth transition from virtual environments to on-track deployment. Participate in track testing sessions and international racing events, supporting vehicle operations, troubleshooting technical challenges, and analyzing performance data to continuously improve our autonomous driving systems. Collaborate on cutting-edge automotive R&D projects, adapting and transferring autonomous racing technologies to real-world automotive applications, including advanced driver assistance systems (ADAS) and emergency obstacle avoidance. What we're looking for An MSc or PhD in Robotics, Control Engineering, Autonomous Systems, Automotive Engineering, or a closely related field. Hands-on experience with Model Predictive Control (MPC), ideally through a master's thesis, PhD research, or autonomous racing project. Practical programming experience with C++, Python, ROS/ROS 2, and Linux. Experience developing motion planning or control algorithms for autonomous vehicles or mobile robotic systems. A solid understanding of control theory, vehicle dynamics, and motion planning principles. Experience implementing and testing algorithms in simulation and, ideally, on real robotic platforms or vehicles. Strong analytical and problem-solving skills, with an interest in applying research to real-world autonomous racing challenges. Fluent English and the ability to collaborate in an international engineering team. Nice to have Participation in Formula Student Driverless, A2RL, Indy Autonomous Challenge, F1TENTH, or similar autonomous racing competitions. Research experience focused on nonlinear MPC, trajectory optimization, or sampling-based motion planning. Familiarity with vehicle dynamics modelling, tyre modelling, and system identification. Experience with drive-by-wire systems and CAN communication protocols. What we offer The opportunity to work on cutting-edge autonomous racing technology, contributing directly to the development and performance of a full-size autonomous race car. Hands-on involvement in real-world testing and international racing events, with opportunities to travel to locations such as Abu Dhabi and Shanghai. A Luxembourg-based position with a hybrid working arrangement, combining engineering development with practical testing activities. Vacation days 25 Relocation package if you live outside of Luxembourg Language classes Newborn bonus

- Реализовывать и развивать SDK на Kotlin Multiplatform. - Разрабатывать networking и data layers: управление запросами, retry, throttling, обработку ошибок, caching, local storage и синхронизацию данных.

Location: Sydney ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Applied AI Engineer on the Applied AI team, you will bridge the gap between Mistral’s cutting-edge AI research and real-world enterprise applications. This role exists to ensure our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. The Applied AI team is Mistral’s customer-facing technical organization, working directly with enterprise clients from pre-sales through implementation. We combine deep machine learning expertise with strong customer engagement, operating like startup CTOs who own end-to-end project execution. By joining this team, you will drive the adoption of Mistral’s products, helping customers deploy AI solutions that deliver measurable business impact across industries. WHAT YOU WILL DO - Deploy production-ready AI use cases with significant business impact across diverse industries. - Develop state-of-the-art GenAI applications, from consumer products to industrial solutions, driving technological transformation for customers. - Collaborate with researchers, AI engineers, and product teams on complex customer projects involving fine-tuning, advanced LLM applications, and contributions to open-source codebases. - Participate in pre-sales calls to understand client needs, challenges, and aspirations, providing technical guidance on Mistral’s products. - Work with product and science teams to continuously improve model and product capabilities based on customer feedback. WHAT WE'RE LOOKING FOR - Fluency in English. - Experience as a technical individual contributor (data scientist or software engineer) on AI-based products. - Proven track record in implementing AI or machine learning products with APIs, back-end, and front-end interfaces. - Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases. - Deep understanding of machine learning and LLM concepts and algorithms. - Strong technical coding skills in Python. - Ability to explain complex technical concepts clearly to both technical and non-technical audiences. - Contributions to open-source projects, particularly in the LLM space. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life.   As a Software Engineer I, you will contribute to the design, development, and maintenance of the services that power WHOOP’s core product experiences. You will work closely with experienced engineers, product managers, designers, and data scientists to build scalable, reliable systems that deliver meaningful insights to our members. This is a growth-oriented role ideal for engineers who are excited to learn, ship high-quality code, and make an impact in a fast-paced, mission-driven environment.   RESPONSIBILITIES: - Contribute to the development and maintenance of backend services and APIs that power WHOOP’s member-facing features using technologies such as Java, Kafka, Postgres, and AWS. - Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions. - Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards. - Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance. - Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members. - Contribute to technical documentation and knowledge sharing to support team velocity and long-term maintainability. QUALIFICATIONS: - Professional experience in backend software development (internship, co-op, or academic project experience acceptable). - Experience building or interacting with RESTful APIs and relational databases (e.g., Postgres or similar SQL-based systems). - Proficiency in an object-oriented programming language such as Java, or demonstrated ability to quickly learn new backend technologies. - Familiarity with version control systems such as Git and standard development workflows. - Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics. - Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS. - Strong problem-solving skills and a growth mindset, with a willingness to seek feedback and continuously improve. - Effective communication skills and the ability to collaborate within a cross-functional team environment. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This posting is for an immediate new hire to our team. For those graduating in the Winter of 2026 or Spring 2027 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities https://jobs.ashbyhq.com/whoop/8aadc0e4-42a3-4ac2-b4a3-b584bb154ed3job posting instead to be considered for roles opening at that time. Thank you!   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.The U.S. base salary range for this full-time position is $105,000 - 145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Bellevue 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? AI ENGINEER INTERN BELLEVUE, WA – ONSITE/HYBRID 12 WEEK SUMMER INTERNSHIP (MAY/JUNE - AUGUST/SEPTEMBER 2027) UiPath is a global leader in business orchestration and automation. Our platform helps enterprises coordinate end-to-end processes across AI agents, robots, people, and systems, with the governance needed to run agentic automation at scale. As an AI Engineer Intern, you will help build the AI agents that run on our platform. You will contribute to core components, with a focus on developing capabilities like Context Grounding, Conversational Agents, and Agent Memory. These essential services give our AI agents the foundation to understand and interact effectively with enterprise data and applications. WHAT YOU’LL DO AT UIPATH: - Contribute to the design, development, and operation of AI-driven components within the UiPath platform. - Assist in the implementation of features and systems related to our AI services. - Collaborate with senior engineers to ensure software deliverables meet high standards of quality and performance. - Engage with and learn engineering best practices, including CI/CD, testing, and operational excellence. - Stay current with emerging technologies in AI and Generative AI. - Work closely with product managers, UX designers, and other engineers to understand and contribute to the technical product roadmap. - Participate in addressing customer tickets and begin to form a perspective on customer pain points. - Understand key customer scenarios and help automate them through testing. WHAT YOU’LL BRING TO THE TEAM: - Currently pursuing an MS or PhD in Computer Science, Engineering, AI, or a related technical field. - Up to 1 year of software engineering experience through internships, research, or coursework. - A foundational understanding of Generative AI (GenAI) technologies, with exposure to Large Language Models (LLM) or Retrieval-Augmented Generation (RAG) being highly valuable. - Strong proficiency in programming languages such as Python (especially with AI/ML frameworks), TypeScript, or C#. - A solid grasp of object-oriented programming principles and computer science fundamentals, including data structures and algorithms. - An understanding of API design (REST, gRPC) and asynchronous programming concepts. - Experience using AI coding assistants (such as GitHub Copilot, Cursor, or Claude) to write, debug, and refactor code, with the judgment to review and test AI-generated output before relying on it - An ability to work effectively within a globally distributed team. - Excellent communication skills and the ability to articulate technical concepts. - A willingness to seek feedback and apply best practices to improve performance. #LI-RW1 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: US - United States Employer Website Full Stack Engineer (Scopely, Inc.; Culver City, CA): Work closely with a small cross functional team to deliver world class content to our game players. Implement new game mechanics and unit tests using Unity and C#. Ensure technical performance is outstanding throughout development. Collaborate and communicate with multifunctional departments including game design and quality assurance. Participate in a strong engineering team/culture. Telecommuting permitted in the U.S. pursuant to company policy. Minimum requirements: Bachelor’s degree or foreign equivalent in Computer Science or related field. Two (2) years of experience as a Software Engineer, Computer Engineer, or related occupation. Must have experience with the following: working in a collaborative software development environment utilizing agile methodologies, source control, and code review processes; utilizing data structures, multithreading/concurrency, object-oriented design patterns, and algorithm design and optimization; designing and maintaining scalable game framework architecture with emphasis on long-term maintainability and API design; mobile networking architecture; troubleshooting and resolving complex technical issues in large-scale distributed systems; and incorporating user feedback into application improvements and feature development. Salary: $136,990.00 to $150,689.00 per year APPLY NOW GH link: https://job-boards.greenhouse.io/scopely/jobs/5476480008?gh_jid=5476480008 Job Req ID: 00094705 To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position, or email your resume to employment@scopely.com For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $136,990 — $150,689 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Hamburg 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 Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Act as a strategic analytical partner to Product, Data Science, and Business leads. You proactively translate ambiguous business challenges into analytical roadmaps and turn complex ML insights into clear recommendations that shape product strategy. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Drive analytical projects with end-to-end ownership: from initial scoping and hypothesis generation to stakeholder alignment and post-decision impact. Establish reusable frameworks and best practices that raise the bar for how we use data across teams. - Mentor and guide other analysts on the team, fostering a culture of high analytical standards, strong business intuition, and effective communication. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, or Data Science, with a proven track record of delivering measurable business impact and working closely with senior cross-functional stakeholders.. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You can articulate complex algorithmic and behavioral insights clearly to non-technical stakeholders, align differing viewpoints, and comfortably present recommendations to leadership. - You thrive with ambiguity and have a high degree of ownership. You proactively identify high-value opportunities instead of waiting for tasks to be assigned, and you take pride in seeing initiatives through to real-world outcomes. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

— Design, develop, and deploy secure smart contracts using Solidity for the Ethereum blockchain ecosystem; — Architect and implement robust decentralized applications (dApps) and backend integration with smart contracts;

Location: Bengaluru, Karnataka, India, APAC 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Staff Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute clusters. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You’ll Use Java, SQL, Cloud Data Warehouses, AWS, GCP, Azure, Oracle, Grafana What You’ll Do You'll be working with Cloud APIs, SQL, and NoSQL databases etc. You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouse. You will process the data into clean, incremental, automated updates. As a technical leader in the team, you will drive engineering excellence within the technology team, come up with architecture and design, work closely with engineers in the team to review designs, and contribute directly to code. Skills We’re Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Experience in architecting reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs Experience and expertise in building back-end services and data systems Broad technical knowledge which encompasses Software development and automation Experience with use of wide array of algorithms and data structures Strong knowledge and expertise in working with Java, AWS, Cloud-based APIs, databases, data warehouses, software design and programming best practices Entrepreneurial mindset, excellent communication, and technical leadership skills Mentoring and guiding junior staff Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer service Strong knowledge and expertise in writing SQL queries and understanding of query execution plans Proficiency with observability tools like Grafana Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms Experience with Data Warehouses like snowflake, Redshift, SQL Server. Experience with Kubernetes and Docker Expertise with database management systems and storage systems. #LI-HYBRID #LI-PE1 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.

What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world.

Location: Paris; Zurich; Warsaw; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary    -You will be working with the research team on making state-of-the-art generative models. -You will run autonomous work streams under the supervision of experienced scientists. -The role is based in one of our offices in Paris, London, Zurich or Warsaw. -Internship duration : 6 months. We will only consider candidates looking for end of studies internships (Master or Phd)   What you will do   -Explore state-of-the-art LLM algorithms for training LLMs, with the supervision of top level scientists. -Assist in the design and implementation of machine learning models and algorithms. -Conduct research on the latest advancements in natural language processing and LLMs. -Contribute to the development and optimization of our LLM systems. -Collaborate with cross-functional teams to integrate LLM technologies into various applications. -Perform data analysis and visualization to support research and development efforts. -Document research findings and contribute to technical reports and publications. -Participate in team meetings and brainstorming sessions to share ideas and insights   About you   -Currently doing a Master or PhD at a tier 1 engineering schools / Universities. -High scientific understanding of the field of generative AI.  -Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications. -Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar. -Familiarity with natural language processing techniques and machine learning algorithms. -Design complex software and make them usable in production.  -Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.  -Previous experience with LLMs or related technologies. -Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.   Now, it would be ideal if you :  -Have experience in fine tuning/training LLMs. -Have used complex HPC infrastructure with full autonomy.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Bangalore Workplace: Hybrid About the role We’re looking for an experienced frontend developer to help drive and evolve our SaaS product. We are working with the latest industry-standard stack: material-ui, React Router, React, Typescript, etc. For testing, we use React-testing-library, Jest, and Playwright. You will be an early contributor to the product and will solve attractive technical challenges. What you’ll do - Build and evolve a state-of-the-art web management console that sits at the core of our product - Build complex, dynamic data visualizations that handle large, real-time datasets - Design, build and extend the backend APIs and services behind UI features, end to end - Work with our UI/UX design team to improve the user experience - Partner closely with the Cyberhaven core engineering team on API contracts, data models and performance - Own features from design through deployment, including testing, monitoring and debugging in production Who you are - 6+ years of software engineering experience, mostly in frontend: coding, testing, debugging and automating complex TypeScript applications with React - Strong knowledge of current frontend libraries, state management and performance optimization - Hands-on experience building backend services and REST/GraphQL APIs in a language such as Go, Python, Node.js or Java - Comfortable working with databases (SQL and/or NoSQL) and understand data modeling and query performance - You enjoy building complex visualizations - Solid grasp of data structures and algorithms - You can design clear, well-structured APIs, not just consume them - You learn new technologies quickly and enjoy doing it - Based in Bangalore, India Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. While there is a lot to celebrate in our past, there is even more opportunity ahead of us. As we are continuing to grow, we’re seeking a Sr. Software Engineer - B2 Object Storage to join our team! What You'll Do: You will work on B2 APIs and subsystems that allow our customers and integrations to upload objects, manage object lifecycles, track usage, and interact with our billing and storage systems. You will help build new features, improve the scalability of our systems, and build internal observability tooling. Responsibilities: Design, implement, and maintain B2 and S3-compatible APIs to ensure correctness, performance, and backward compatibility for a large base of external customers and integrations. Lead technical design discussions and produce clear design documents Instrument services, develop metrics, define meaningful SLIs/SLOs, and drive reliability improvements. Actively participate in on-call rotation to help determine incident root causes and identify follow-up remediation items The Right Fit: 7+ years of server-side Java programming experience with a strong background in algorithms and data structures Experience writing software for large scale distributed systems, including design, implementation, testing, and rollout Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Bonus points for: Cassandra and Vitess experience Agile and scrum experience At this point, we hope you're feeling excited about the job description you're reading. Learning, developing, and growing are key parts of our culture, so even if you don't meet every requirement, we still encourage you to apply. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. THE TEAM The Core Team sits at the heart of Constructor, shaping Constructor’s in-house search engine, where user requests meet customer catalogs and Constructor’s learnings. We build and operate the foundational systems that power every request flowing through the platform, enabling fast, reliable, and intelligent interactions at massive scale. Our systems handle billions of requests daily with exceptional uptime, and we take pride in delivering a highly scalable, resilient, and globally distributed platform. As part of the Core team, you will help design, build, and maintain the critical infrastructure and services that underpin the entire product, ensuring performance, stability, and reliability across the globe. REQUIREMENTS You’ll thrive in this role if you: - Have a strong foundation in computer science, including algorithms, data structures, concurrency, and systems design. - Have experience building and scaling high-traffic, high-availability backend systems. - Have experience designing and operating backend infrastructure, including deployment automation, capacity planning, and observability. - Are comfortable working across different layers of the stack, from performance-critical code to production operations. - Enjoy learning new technologies and tools in a fast-moving, large-scale environment. - Collaborate effectively and contribute to a positive, ownership-driven team culture. OUR TECH STACK - Languages: Rust, C++, Python - Cloud Infrastructure: AWS - CI/CD: Jenkins, GitHub Actions - Monitoring & Observability: Prometheus, Grafana BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. About the role: As a Brokerage Operations Intern you will dive into the fast-paced world of capital markets. You will support our Brokerage Managers in daily trading activities, risk management, order monitoring, and the operational rollout of exciting new investment products. This is a unique opportunity to learn the intricacies of trade execution, algorithmic trading, and investment management from industry experts. WHAT YOU’LL DO: - Order Management & Best Execution: Support the daily monitoring of trade executions and order flows to help ensure client trades are processed accurately, on time, and in strict adherence to best execution policies. - Risk Management & Algorithmic Trading Support: Assist the team in monitoring algorithmic trading flows and evaluating daily operational risks, helping to ensure our automated trading systems run smoothly and within defined risk parameters. - Market Abuse Monitoring & Compliance: Support the continuous monitoring of trading activities to assist in identifying potential market abuse scenarios. Help prepare data for regulatory compliance reporting (such as MiFIR, MAR, or Best Execution). - Investment Universe Management: Assist in managing and expanding our offered investment universe across various European and EMEA jurisdictions, ensuring new and existing assets align with local regulatory and operational requirements. - Trade Execution Support: Assist with the daily operational processes surrounding trading, including the execution handling for equities, mutual funds, and ELTIFs (European Long-Term Investment Funds). - Product Planning & Launch: Collaborate cross-functionally with Product and Operations teams to assist with research and operational readiness for new brokerage product launches across different regions. - Ad-Hoc Brokerage Projects: Actively participate in team projects aimed at improving execution mechanisms, rectifying mistrades, and optimizing our internal trading infrastructure.   WHAT YOU BRING: - Keen Interest in Markets & Data: A strong, demonstrable passion for financial markets, data analysis, trading, and the fintech ecosystem. - Foundational Knowledge: Basic understanding of market structures, trade lifecycles, and different financial instruments (knowledge of mutual funds, ELTIFs, or algorithmic trading concepts is a great bonus!). - Analytical Mindset: High attention to detail, excellent problem-solving skills, and a proactive, "hands-on" attitude when dealing with complex data. - Tech-Savvy: Comfortable working with data and eager to learn about trading platforms, market data tools (like Bloomberg), and internal order management systems. - Communication: Fluency in English is required; German is a strong plus.   HOW WE UPVEST IN YOU: - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies.   OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Москва Sber Global Markets is seeking a **Director of Quantitative Research** to build from scratch an adaptive research platform that combines quantitative finance with modern AI/ML methods. The key objective is to build a pipeline for autonomous hypothesis generation and testing, experimentation, and deployment of investment strategies to production. The role entails full ownership of the research agenda, platform architecture, team building, infrastructure development, and engagement with leading research laboratories. Обязанности * **Investment Pipeline Development:** Design and build scalable infrastructure (research and backtesting frameworks) for autonomous hypothesis generation, simulation, and validation of trading strategy code under realistic market conditions, with systematic model refinement and knowledge accumulation. * **AI/ML Research Leadership:** Define research directions and develop AI research methodology. Identify and integrate promising methods and models to extract investment alpha using multi-agent systems and LLMs. * **Full-Cycle Research Management:** Lead the full cycle — from mathematical modeling and data analysis to independent validation of investment strategy code and deployment of validated strategies to production. * **Team Building and Partnerships:** Build a top-tier team of quantitative researchers and data engineers. Develop partnerships with leading AI laboratories. Требования * **Required Experience:** 7–10+ years of experience in quantitative research at leading investment funds or quantitative/quant divisions of investment banks. 3–5 years of research team management experience. * **Proven Track Record:** Development and successful deployment of algorithmic alpha models to production. Experience with multi-agent systems and LLMs is a plus. * **Expertise:** Deep understanding of Equities, FX, Commodities, and/or derivatives markets. Experience with the Russian market is a plus; for candidates with international experience, the ability to rapidly adapt models to the local specifics of the Russian market is important. * **Technical Skills:** Strong understanding of the modern development stack and high-performance computing architecture. * **Education:** PhD or MSc in Mathematics, Physics, Computer Science, Quantitative Finance, or a related field from leading international or Russian universities.

Location: Bangalore 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? ABOUT THE ROLE Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years. As a Senior Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes. You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation. This is a high-visibility, high-impact role on UiPath's biggest strategic bet. What You'll Do - Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants. - Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow - Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems. - Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. Responsible shipping means measuring honestly, not chasing vanity numbers. - Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions - Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on. What We're Looking For: - Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production - Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important. - Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows - Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs - Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals - Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback. - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. What You'll Bring to the Team - Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience. - 7+ years of software engineering experience, with 4+ years focused on distributed systems and backend architecture. - Strong proficiency in one or more system-level languages – Javascript / C# / Java etc - Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts). - Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms. - Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution. - Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models. - Hands-on experience with cloud ecosystems: Azure, AWS, or GCP. - Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent. - Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows. - Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns. - Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code. - Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables. - Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels. Nice to Have - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. - Data science and evaluation - Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling - Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability - Data and retrieval systems - Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models) - Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows - Engineering for trustworthy AI - Experience blending deterministic and probabilistic systems (rules engines + AI) - Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows - Platform and product development · Frontend familiarity (React, TypeScript) · Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions) · Kubernetes and distributed infrastructure · Experience in startups, applied research, or 0→1 product environments · Open-source contributions How We Work Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it — that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here. Why Join Us - Work on cutting-edge AI technology that's shaping the future of enterprise automation - Be part of a team building Times top 100 Invention of the Year (2 years running) - Collaborate with talented engineers who value rapid iteration and customer impact - Contribute to UiPath's Act 2 strategy - our most important product initiative. 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.