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Location: Los Angeles, USA Riot’s Data Engineers build tools and data products that help teams understand and improve the experience of players worldwide. They work across data pipelines, data modeling, data infrastructure, and data quality to make large-scale data useful, reliable, and accessible. As a Data Engineering Intern, you’ll work with data engineers, software engineers, data scientists, analysts, and game or product partners to build and improve data products. You’ll gain exposure to transforming raw data into clean, queryable datasets, designing data models, validating data quality, and supporting data pipelines. You’ll be supported by experienced team members as you learn Riot’s tools, systems, and engineering practices. Potential Responsibilities: Collaborate with data engineers, software engineers, data scientists, analysts, and game teams on data-focused projects. Transform raw data into clean, documented datasets that can be queried and used by downstream partners. Implement small data pipeline, data modeling, or data-quality tasks using established tools, templates, and technical guidance. Support the design of relational data models and data products for game, product, or business use cases. Help validate data for accuracy, timeliness, completeness, and sustainability. Participate in code reviews, technical discussions, team rituals, and project planning. Document technical proposals, implementation details, and data definitions clearly. Learn how cloud, distributed-processing, and data-pipelining systems support Riot’s games and products. Required Qualifications: Graduating in the 2028 calendar year. Currently enrolled in a Computer Science, Engineering, Data Science, or related technical degree program. Available to work full-time hours for the 12-week internship duration. Comfortable programming in Python or Java. Understanding of data structures and algorithms. Familiarity with SQL and relational data concepts such as tables, keys, normalization, or indexing. Minimum GPA of 2.5. Desired Qualifications: Currently enrolled in a graduate-level (Master’s or PhD) Computer Science, Engineering, Data Science, or related technical degree program. Experience developing a data pipeline, data model, database project, or data-driven application through coursework, internships, research, or personal projects. Familiarity with cloud-computing basics, such as AWS or GCP. Experience working with Linux operating systems. Understanding of distributed systems, concurrent programming, or distributed data processing. Familiarity with tools or frameworks such as Databricks, Spark, Flink, Hive, Kafka, Airflow, Luigi, Docker, Terraform, Kubernetes, Parquet, or Avro. Experience with Scala, C++, Golang, or another programming language. Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment. Portfolio, website, GitHub, or other collection of original work. Work Authorization Candidates must be legally authorized to work in the United States for the duration of the program. This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you! Applications close January 4th, 2027 Our Perks: Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience. Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming . 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. (Remote Only) The hourly rate for this internship is USD $53.41 - $69.28 hourly

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together. The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experience. This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle — from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration. You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices. What You’ll Be Doing We’re looking for a Machine Learning Engineer to build models and AI tools that help detect fraud and protect users at a global crypto exchange. You’ll apply deep learning and XGBoost, develop practical AI agents, and use AI coding tools in your daily work. Build, evaluate, and deploy machine learning models for fraud and risk detection. Improve data quality, features, and model performance, balancing fraud detection with customer experience. Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows. Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output. Work with engineering, product, and risk teams to deploy solutions and monitor their impact. What We Look For In You A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM. Strong Python skills and experience training, evaluating, and deploying models. Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome. Regular use of AI coding tools, with the ability to understand, test, and improve generated code. Familiarity with databases and data pipelines for preparing training data and supporting ML workflows. Good problem-solving, communication, and collaboration skills. Nice to Haves Experience in account takeover (ATO), scam detection, or other fraud and risk use cases. Experience with LLM training, fine-tuning, evaluation, and alignment. Experience with reinforcement learning algorithms and their practical implementation. Experience with real-time ML systems, imbalanced datasets, or model explainability. Prior fraud or risk experience is helpful Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior United States Office APPLY NOW REFER A FRIEND Join a mission-driven technology team that’s redefining what’s possible in cardiac care. We’re developing an advanced medical system designed to help physicians diagnose and treat cardiac arrhythmias with precision and confidence. This role offers the opportunity to contribute to an innovative platform at the intersection of real-time software, visualization, and life-saving technology. You’ll work within a collaborative engineering environment where creativity and technical excellence drive meaningful patient impact. This position is based onsite in the Minneapolis, with a hybrid structure (minimum of four days onsite per week) that encourages direct collaboration, mentorship, and cross-functional engagement. What project we have for you The Senior Software Engineer will be a key contributor on the system software team, responsible for designing and implementing complex, high-performance applications that integrate closely with medical hardware and imaging systems. The ideal candidate will have deep technical expertise in Python and C++, a strong understanding of modern software architecture, and a passion for developing reliable, user-focused medical technologies. What you will do Lead the design, development, and optimization of high-performance system software. Develop, test, and debug applications that interface directly with embedded and hardware components. Collaborate with multidisciplinary teams—hardware engineers, system architects, product managers, and QA—to define requirements and deliver solutions that meet clinical and regulatory standards. Drive code quality through peer reviews, automated testing, and continuous integration. Mentor junior engineers and promote engineering excellence through knowledge sharing. Document design decisions, development processes, and testing methodologies to ensure traceability and consistency. Troubleshoot complex software issues and deliver timely resolutions in a regulated environment. Participate in lab evaluations, pre-clinical testing, and system demonstrations for stakeholders and clinicians. Stay current on emerging tools, frameworks, and industry best practices to continuously enhance product performance and maintain technical leadership. What you need for this Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field with 4+ years of relevant experience OR Master’s degree with 2+ years of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware–software integration Experience in implementation Bluetooth stack, maintenance and configuration. Hands-on experience with ROS, Linux-based development, and/or real-time operating systems Experience with CI/CD pipelines, Git, and Agile development methodologies Knowledge of cloud services (AWS or Azure) and scalable software architectures Excellent communication and collaboration skills within cross-functional teams Proven ability to work independently on complex, mission-critical software systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills C++ Python

Location: GE; PL Workplace: remote Overview: We are looking for a Senior Ruby Developer to join a highly experienced engineering team working on complex, data-intensive systems. You will help design and build reliable, fault-tolerant solutions, take ownership of their performance in production, and solve challenging data and scalability problems. Purpose of the role: Design and improve scalable Ruby services for high-load, data-intensive systems. You will own solutions from implementation to production, troubleshoot complex issues, optimize application and database performance, and contribute to technical decisions and engineering practices. Key responsibilities: Work in a fully agile environment with senior engineers and product managers Participate in designing fault-tolerant, highly available and optimized solutions Monitor and optimize your services in production for excellence Research and develop new technologies and tools Collaborate with other teams – product, infrastructure and business Required Experience: Minimum 5-year experience in software development Solid Ruby programming skills Hands-on experience with data-intensive applications development & performance tuning Experience in developing complex solutions from scratch Strong SQL skills and solid understanding of relational databases, with the ability and curiosity to investigate complex data issues, analyze large datasets, and perform root-cause analysis Deep data structures, OOP, and algorithms knowledge Good communication skills Nice to have: Familiarity with ClickHouse Familiarity with AI-powered developer tools and practical experience integrating them into daily development workflows Experience with Kafka Ability to implement space and time-efficient algorithms and understand which one is preferable and when Readiness to learn other programming languages (e.g. Golang, Scala) Familiarity with SRE practices Familiarity with cloud native technologies (e.g. k8s, Helm, Prometheus) Our Benefits: Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

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 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: Austin, TX, Chicago, IL, Los Angeles, CA, Seattle, WA, Boston, MA, Philadelphia, PA, New York Metro, New Jersey, Washington DC At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Advanced Customer Engineer provides the next-level expertise and service to ensure all the Reltio customers get the best possible experience. This position requires a deep understanding of the Reltio application stack from the front end to the database layers and analysis of break-fix cases. Job Duties and Responsibilities: Build highly scalable and reliable platform services and components to create the foundation of the core Reltio Platform architecture. Develop and implement strong algorithms/techniques for solving complex problems in a high-volume and high-availability environment. Take complete ownership of Reltio Platform features, components, and integrations. Build and implement scalable and accurate monitoring platforms and metrics platforms. Analyze user needs and software requirements to determine design feasibility within time and cost constraints. Provide top-quality technical support assistance, resulting in high customer satisfaction. Identify opportunities for continuous improvements to Reltio cloud-based platforms (AWS, CGP, and Azure). Develop new ways to optimize and streamline the Reltio Platform layer to facilitate a seamless implementation experience for our customers. Devise enhancements, and monitor performance, stability, and consistency of the Platform to facilitate the delivery of well-rounded decision-making in connection with product development and delivery. Resolve customer technical issues through research, reproduction, UI/API/performance debugging, and troubleshooting. Remain abreast of technological advancements to identify cutting-edge and new pragmatic approaches to building sustainable solutions, including applying pragmatic approaches to deliver solutions and fixes to critical customer-facing obstacles. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Support Enterprise-focused applications, with a focus on data management, analytics, and big data platforms and technologies (Hadoop, Spark, MapReduce). Plan, design, and build effective solutions to support a rapidly growing business at a massive scale. Learn and keep up-to-date on the latest product functionality, dependencies, underlying architecture, and their operational impact. Research and develop solutions for customer support cases using extensive product knowledge, version control software,  and troubleshooting techniques. Enable a deeper understanding of MDM, NoSQL, Data structures, Service architecture, and System design through documentation. Collaborate with support, product management, and core engineering team members to design systems and obtain information on project limitations, capabilities, performance requirements, and interfaces. Represent Reltio in Customer meetings as an Engineering expert to provide clear and deep knowledge of customer issues and impacts. Provide input on product and service-related enhancement requests to Engineering, Product Management, Sales, and Marketing teams. Share and develop best practices with team members to enhance the quality and efficiency of customer support and contribute to the knowledge base. Support, enhance, and fix solutions that support a rapidly growing business at a massive scale Other duties and responsibilities as assigned. Skills You Must Have: Bachelor of Science degree in computer science or equivalent experience. 5+ years developing on large-scale enterprise systems. Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Experience with web UI development with JavaScript frameworks. Experience debugging server-side Java applications including troubleshooting logs, thread dumps, and connectivity issues. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Experience with NoSQL databases (Cassandra preferred), and distributed indexes. Understanding of performance and profiling techniques of complex systems. Excellent analytical and troubleshooting skills. 2 years of experience developing Master Data Management (MDM) software with several full life cycle implementations in Reltio Cloud. 2 years of experience designing and implementing end-to-end, on-premise and cloud, MDM solutions in Reltio Cloud. 2 years of experience with enterprise-focused applications including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, and Reltio Cloud. 2 years of experience configuring & validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud. 2 years of experience in using Version Controlling software including Bitbucket, VSS, SVN for storing and promoting the code. Skills That Are Nice to Have: Experience with big data technologies (ex. Hadoop, MapReduce, Spark). Master of Science degree in computer science or equivalent experience. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $154,000 — $262,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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.

Location: United States; United Kingdom; Canada; Germany Senior Amazon Brand Manager – GNO Partners GNO Partners was founded by Gal and Ouriel, who built and exited two successful Amazon brands. We help Amazon FBA sellers scale profitably using our proven system. We are a Done With You consultancy, meaning we don’t manage client accounts—we set the strategy, analyze their brand, and teach them how to execute using our resources. Why Join Us? Fully remote Amazon consulting agency. High-performance culture: hard work, speed, over-delivery, and trust. Yearly total pay: $250,000–$350,000+, based on performance and Revenue Share (no cap). Includes: Base guaranteed salary : $120,000. This is your guaranteed pay during ramp-up, even before you have a full client portfolio. Within 120 days, with a full client portfolio, consultants earn at least $17,500 in monthly salary and continue to grow from there. Our top consultants earn $300,000+ per year . How the performance is calculated : you earn more as you manage more clients, keep them longer, and generate referrals. Work with a team that lives and breathes Amazon, and has fun doing it. Who We’re Looking For: Senior Amazon Brand Manager who deeply understands Amazon FBA, enjoys strategizing for brand growth, and can tackle complex challenges with precision and speed. Key Skills & Experience: Organic Ranking Mastery : Product launches, ranking strategies, and algorithm insights. Amazon PPC Expertise: Strategy + execution, proven hands on experience managing minimum $50K+/mo budgets . Brand Management: Experience managing Private Label brands generating a minimum of $10M in annual revenue Logistics & Backend: Strong grasp of COGs, fees, inventory, and profitability (P&L) optimization . Amazon Catalog Troubleshooter: Proven expertise in diagnosing and resolving complex catalog issues. Responsibilities: Lead weekly strategy calls with clients, ensuring project progress. Solve Amazon challenges and guide clients through key projects. Track progress and provide clear next steps. Offer daily support via Slack & Email. Continuously improve our consulting systems. Attend weekly training and team meetings. Qualifications: Full-time, remote. 3+ years Amazon FBA experience , managing brands $10M+ in revenue minimum. PPC expertise: Managed $50k monthly ad budgets minimum . Seller Central pro: Navigate and optimize quickly. Strong project management & client communication skills. Positive, proactive, and client-focused personality. Fluent in English. Ambitious and driven, with a relentless work ethic to maximize earning potential If you're an Amazon expert, you're driven, strategic, and thrive in high-growth environments, we want you on our team! *For referrals, email us at HR @ gnopartners.com and CC the candidate you’re introducing.

— 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: Hybrid - Palo Alto or San Francisco 📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time W2 About the Role We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines. In our specialty care model, clinical health outcomes and business growth are directly linked: matching patients to their preferred, personalized treatment path leads to higher clinical efficacy, better satisfaction, and long-term retention. In this role, you won't just work with clean tabular data; you will bridge the gap between structured clinical metrics (lab values, symptom severity scores, dosage trajectories) and unstructured patient communications (visit transcripts, ambient scribe outputs, and intake survey dialogue). You will sit at the intersection of Data Science, Clinical Operations, and Product, serving as a core builder who transforms messy, multi-modal patient data into actionable clinical decision support and personalized care pathways. What You’ll Do Data Foundation & Pipeline Development Clean & Transform Multi-Modal Clinical Data: Build reliable, well-structured modeling tables and feature stores by parsing, cleaning, and joining raw datasets including lab results, symptom severity surveys, medication history, and raw visit transcripts. Establish Unstructured Data Workflows: Design robust data processing pipelines to convert unstructured clinical notes, orders and visit transcripts into structured, queryable relational tables. Transcript Mining & Feature Extraction Extract Patient Intent & Preference: Build lightweight NLP and LLM-based pipelines (using entity extraction, sentiment analysis, and topic modeling) to convert ambient visit transcripts into structured features. And provide insights into patient preferences in treatment pathway, communication, and modality, etc. Identify Friction Points: Process qualitative dialogue to automatically detect unaddressed obstacles or early side-effect reports before they lead to treatment discontinuation. Lookalike Cohorts & Patient Treatment Planning Lookalike Clustering Engine: Develop unsupervised segmentation models to cluster patients into "lookalike" cohorts based on baseline lab values, symptom profiles, and transcript-derived preferences. Outcome & Trajectory Forecasting: Build predictive models that estimate symptom reduction, time-to-relief, and potential side-effect risks across alternative treatment branches (e.g., immediate HRT vs. conservative step-therapy). Causal Inference & Retention Analytics Quasi-Experimentation on Care Protocols: Apply observational study methods (Propensity Score Matching, Difference-in-Differences, Survival Analysis) to evaluate non-randomized care pathways and quantify counterfactual patient outcomes. Drop-Off & Retention Optimization: Identify critical clinical touchpoints and dosage adjustment milestones that drive long-term program adherence, connecting clinical milestone achievement directly to patient retention and LTV. Research & Cross-Functional Collaboration Evidence Generation: Partner with the clinical research team to provide analytical support for peer-reviewed medical publications, white papers, and payer studies. Clinical Operations Alignment: Translate analytical findings, treatment protocol insights, and patient drop-off trends into actionable workflow improvements for clinical operations and care teams. What You Bring Technical Skills Programming & Querying: Advanced proficiency in SQL for data manipulation alongside strong Python skills for predictive modeling and data transformation. Machine Learning & Modeling: Practical experience applying clustering (segmentation), regression/classification, and survival analysis (e.g., scikit-learn, statsmodels, lifelines). NLP & Modern LLM Workflows: Hands-on experience with NLP techniques and LLM frameworks (e.g., transformers, Claude API, etc.) to parse, extract, and classify unstructured text data. Causal Inference Fundamentals: Solid working knowledge of quasi-experimental design, propensity score matching, and counterfactual reasoning on observational datasets. Analytical Capabilities Healthcare Data Intuition: Comfort working with messy, semi-structured, or missing healthcare datasets (lab results, Patient-Reported Outcome Measures/PROMs, EHR notes). Pragmatic "0-to-1" Builder Mindset: You enjoy doing the foundational data architecture work—cleaning JSON outputs, structuring features, and validating baseline models—before reaching for complex algorithms. Cross-Functional Communication: Ability to translate technical modeling outcomes into clear, intuitive insights for Clinical Operations and Product partners. Experience 2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions. Experience working with healthcare, telehealth, digital health datasets. Demonstrated track record of parsing unstructured text/transcript data into structured modeling pipelines. Bachelor’s or Master’s degree in Biomedical Data Science, Health Informatics, Biostatistics, or a related quantitative field. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 1hr Panel Interviews- 3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship . Candidates must be authorized to work in the U.S. without current or future sponsorship needs. This is a full-time W2 position. The base salary range is 144K-172K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

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.