Данные и ML вакансии

What You'll Work On. - Building and maintaining a Databricks Lakehouse on a medallion architecture.

Мы в поиске Senior / Middle+ ML-инженера на аналитический проект. • Опыт локального развертывания LLM-моделей (Llama-3, Qwen) и работы с форматами GGUF / FP8 / AWQ.

Задачи: — проводить ценовые тесты с командой аналитики — оценивать потенциал гипотез и проверять их — подбирать подходящие метрики для офлайн- и онлайн-оценки

Предстоит: Разрабатывать и развивать ML/AI-решения для продуктов HR Tech и платформы Alfa People; Самостоятельно проходить полный цикл работы над задачей: от формулировки проблемы и дизайна решения до внедрения и оценки эффекта;

– Поддержка заинтересованных сторон: проверка данных по мере необходимости, расследование расхождений между панелями мониторинга, обеспечение доступности платформы бизнес-аналитики. – Разработка и поддержка ETL/ELT-конвейеров для аналитических отчетов (когортичный доход, LTV, удержание, KPI по креативам, аналитика после покупки).

Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition). Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.

Проектирование, разработка и сопровождение ETL/ELT-процессов с использованием Python и Apache Airflow. Практический опыт эксплуатации Apache Airflow, Spark (PySpark),ClickHouse и PostgreSQL в промышленной среде.

▫️Проектирование, разработка и поддержка масштабируемых data ingestion pipelines. ▫️Работа с большими объёмами данных — до миллиардов строк.

▫️Архитектура Lakehouse / DWH. Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.

-Define the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact. -Architect and deploy production-grade ML pipelines and real-time decisioning systems that power personalization, notification dispatch, and onboarding flows.

Не того, у кого Kafka и ClickHouse просто стоят в разделе Skills, а инженера, который действительно работал с DWH, строил ETL/ELT-пайплайны, оптимизировал SQL и понимает, что происходит с данными от источника до витрины. Наш стек: Kafka, ClickHouse, PostgreSQL/MySQL, Airflow, Python/Java/Scala, Docker, Grafana, Prometheus.

Задачи: — построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников; — работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины; — оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах; — управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов; — визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки бизнес-решений; — оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности. Требования: — уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов); — понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ; — базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач; — аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию. Желательный опыт: — опыт создания дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных); — понимание концепций ETL/ELT; — понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики); — интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster). Условия: — срочный трудовой договор на 3 месяца; — график 5/2, не более 30 часов в неделю; — возможна удалённая, офисная или гибридная работа; — стажировка доступна студентам любых ВУЗов и форм обучения, включая заочную и магистратуру.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A PEEK AT OUR TECHNICAL STACK Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. WHAT YOU'LL DO - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models WHAT YOU'LL NEED - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another NICE TO HAVE - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

- Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation;

Location: United Kingdom Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth. The Senior/Principal Statistical Programmer is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as Oncology, Rare Disease, or Neuroscience . The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities. Main Responsibilities & Technical Competencies Serve as a lead statistical programmer for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities. Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission. Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies. Support programming activities for global regulatory submissions and responses to health authority questions. Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations. Develop, review, and validate high-quality statistical programming deliverables, including tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML . Provide technical expertise in SAS programming , including development, QC/validation, and documentation of statistical programs. Contribute to the development, implementation, and continuous improvement of SAS programming standards, SOPs, work instructions, and best practices . Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready. Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions. Provide technical guidance and mentoring to other statistical programmers and contribute to the development of programming capabilities within the organization. Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies. Act as a subject matter expert in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas. Behavioural Competencies Required Collaborates effectively across functions and organizational boundaries. Communicates clearly with both technical and non-technical stakeholders. Proactively seeks relevant stakeholder input and expertise to support effective decision-making. Takes ownership and accountability for decisions, actions, successes, and challenges. Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines. Maintains a strong focus on quality, compliance, and timely execution. Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement. Supports and coaches colleagues by sharing technical knowledge and best practices. Knowledge & Experience Strong proficiency in SAS programming within a pharmaceutical, biotechnology, or CRO environment. Strong understanding of CDISC standards , including SDTM and ADaM. Hands-on experience with SDTM and ADaM specification, development, and programming . Strong experience in TFL programming and reporting . Experience supporting clinical trial reporting and/or regulatory submissions. Experience working with complex clinical trial data and study designs. Ability to provide technical leadership and independently manage programming activities across multiple studies. 8+ years of statistical programming experience in a pharmaceutical, biotechnology, or CRO environment supporting clinical development. Experience in one or more of the following therapeutic areas is preferred: Oncology, Rare Disease, or Neuroscience . Knowledge & Experience (preferred) R or other packages are desired; Understand clinical data flow. Experience in NDA/sNDA submission is desired. Education / Certifications (essential) Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline Language(s) (essential) English Language(s) (preferred) French Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Contract

Location: European Union Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth. The Senior/Principal Statistical Programmer is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as Oncology, Rare Disease, or Neuroscience . The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities. Main Responsibilities & Technical Competencies Serve as a lead statistical programmer for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities. Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission. Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies. Support programming activities for global regulatory submissions and responses to health authority questions. Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations. Develop, review, and validate high-quality statistical programming deliverables, including tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML . Provide technical expertise in SAS programming , including development, QC/validation, and documentation of statistical programs. Contribute to the development, implementation, and continuous improvement of SAS programming standards, SOPs, work instructions, and best practices . Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready. Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions. Provide technical guidance and mentoring to other statistical programmers and contribute to the development of programming capabilities within the organization. Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies. Act as a subject matter expert in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas. Behavioural Competencies Required Collaborates effectively across functions and organizational boundaries. Communicates clearly with both technical and non-technical stakeholders. Proactively seeks relevant stakeholder input and expertise to support effective decision-making. Takes ownership and accountability for decisions, actions, successes, and challenges. Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines. Maintains a strong focus on quality, compliance, and timely execution. Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement. Supports and coaches colleagues by sharing technical knowledge and best practices. Knowledge & Experience Strong proficiency in SAS programming within a pharmaceutical, biotechnology, or CRO environment. Strong understanding of CDISC standards , including SDTM and ADaM. Hands-on experience with SDTM and ADaM specification, development, and programming . Strong experience in TFL programming and reporting . Experience supporting clinical trial reporting and/or regulatory submissions. Experience working with complex clinical trial data and study designs. Ability to provide technical leadership and independently manage programming activities across multiple studies. 8+ years of statistical programming experience in a pharmaceutical, biotechnology, or CRO environment supporting clinical development. Experience in one or more of the following therapeutic areas is preferred: Oncology, Rare Disease, or Neuroscience . Knowledge & Experience (preferred) R or other packages are desired; Understand clinical data flow. Experience in NDA/sNDA submission is desired. Education / Certifications (essential) Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline Language(s) (essential) English Language(s) (preferred) French Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Contract

• Design and develop human-like, action-level chatbots that not only converse naturally but also initiate and execute user workflows inside the product. • Participate in the architecture and development of an intelligent, context-aware translation system that preserves meaning, tone, and style.