machine learning engineer for biomedical solutions

Owkin; United States; Teletrabalho; USD 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work organization

International team collaboration

Resumo da oferta

Owkin ищет специалиста по машинному обучению для разработки масштабируемых библиотек и экспериментальных рабочих процессов вместе с командой данных. Ваша работа будет формировать требования к инфраструктуре и помогать исследователям писать эффективный, тестируемый код.

Требуется опыт развёртывания моделей DL в продакшн и глубокое знание PyTorch/TensorFlow, а также практика работы с Hugging Face и облачными сервисами (AWS/GCP/Azure). Возможна удалённая работа в рамках международной команды.

Qualificações

• Требуется степень магистра или докторантура в области CS/DS, с упором на ML/AI.
• Опыт разработки ПО на Python не менее 5 лет и развёртывания моделей DL в продакшн.
• Глубокое знание ML-алгоритмов, статистических методов и фреймворков DL.
• Знание PyTorch или TensorFlow на продвинутом уровне.

Responsabilidades

• Разрабатывать масштабируемые ML-библиотеки и исследовательские пайплайны совместно с учеными и аналитиками данных.
• Определять требования к инфраструктуре исследования и выбирать инструменты платформы.
• Продвигать лучшие инженерные практики и помогать исследователям писать поддерживаемый код.

Conhecimentos

Python

Deep learning

PyTorch

TensorFlow

Transformer architectures

Generative AI

Hugging Face

AWS/GCP/Azure

Docker

CI/CD

Formação académica

Master's or Ph.D. in Computer Science / Data Science

Ferramentas

SageMaker

vLLM

Docker

Descrição da oferta de emprego

Описание

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. It builds K Pro, an AI scientist for pharmaceutical research and strategic decision-making that orchestrates AI skills and tools to decode complex biology, accelerate research, and increase productivity. K Pro is built on a multimodal patient data network, state-of-the-art AI for biology, and a decade of experience working with pharmaceutical partners.

Задачи

• Develop scalable machine learning libraries, tooling, and research workflows with research and data scientists
• Shape research infrastructure requirements and drive tool and software choices with the platform team
• Champion software engineering best practices and help researchers and scientists write maintainable, testable, efficient, and scalable code
• Design and enhance systems for experiment tracking, reproducibility, and end-to-end model lifecycle management
• Accelerate the rapid prototyping of novel models, bridging early research and robust implementation
• Handle other ad hoc responsibilities, tasks, and projects assigned by management

Требования

• Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field, with a strong focus on ML/AI
• 5+ Years of professional software development experience with Python
• Proven track record of deploying deep learning models into production
• Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks
• Mastery of PyTorch or TensorFlow
• Deep understanding of Transformer architectures, attention mechanisms, and recent advances in Generative AI
• Extensive experience with Hugging Face and knowledge of agentic workflows and RAG
• Experience with AWS, GCP, or Azure and SageMaker
• Strong engineering practices, including version control, comprehensive testing, CI/CD, and Docker
• Experience with distributed computing, distributed training for massive datasets, and ML workflow optimization, such as vLLM
• Excellent problem-solving skills and ability to analyze complex technical challenges
• Strong communication skills and ability to explain technical concepts to different stakeholders
• Ability to work autonomously, take tasks with limited detail, determine what needs to be done, and execute
• Будет плюсом: experience with clinical or omics data, genomic sequencing, transcriptomics, electronic health records, medical imaging processing and analysis, open-source ML contributions, research publications, proactive debugging of complex distributed systems, mentoring team members, driving a strong technical culture

Условия

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with strong technical and scientific backgrounds
• Position based in the Paris offices or remotely in France, UK, or Germany
• Location options include France, UK, or Germany