About us

Owkin is an agentic AI company on a mission to explore complex biology to speed up and scale research for the creation of new treatments and diagnostics for patients. Owkin K, our AI co-pilot combines unparalleled access to multimodal data, cutting-edge AI to understand biology and pioneering agentic AI to achieve Biological Artificial Superintelligence in the future.

Owkin is comprised of a group of specialized companies that work seamlessly together, combining deep expertise with a shared mission to accelerate biological discovery. Owkin K is the technology foundation of our ecosystem, it provides cutting-edge co-pilots incorporating high-quality data infrastructure and AI tools to power breakthroughs for researchers, customers and our companies.

Owkin has raised over $300 million through investments from leading biopharma companies, including Sanofi and BMS, and venture funds like Fidelity, GV and Bpifrance, among others.Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

Position is based in our Paris, Nantes or London offices or remotely in France, UK, Germany.

Please submit your CV in English

About the role:

As a Research & Machine Learning Engineer, you will push the boundaries of AI in life sciences and help build the world’s leading Agentic AI product for biomedical researchers. You will design, train, and integrate cutting-edge models and computations that go beyond language — spanning biological and multimodal data such as histology slides, spatial transcriptomics, clinical variables and even physics & chemistry modalities.

You’ll balance applied research with practical engineering, shaping the intelligence behind a real-time system that empowers scientists to generate hypotheses, analyze data, and accelerate discovery. If you’re excited about bringing advanced AI to complex, high-impact biological and chemical problems, this role is for you.

Your expertise will be instrumental in selecting and developing the right models, designing reliable evaluation strategies, and exploring innovative ways to apply AI across diverse life sciences data.

In particular, you will:

Collaborate within a multi-disciplinary team of product managers, designers, software engineers, and biomedical scientists.
Research, design, and build machine learning models tailored to complex biological and chemical datasets.
Explore and integrate LLMs, multimodal models, and domain-specific architectures (e.g., vision models for pathology, DNA-based and protein language models, molecular structure neural networks).
Prototype and evaluate approaches for fine-tuning, prompt engineering, retrieval-augmented generation, and reinforcement learning with human or programmatic feedback.
Establish robust evaluation and monitoring methodologies to ensure model performance, reliability, and interpretability in production.
Translate state-of-the-art research into practical solutions, balancing scientific depth with product impact.
Contribute to the broader technical vision and mentor teammates in ML best practices.

About you

Strong scientific curiosity and creativity with an applied mindset.
Proven experience in machine learning research and development (academic or industrial).
Solid understanding of deep learning architectures (transformers, diffusion models, vision models, graph neural networks, etc.).
Experience working with large and/or multimodal datasets — ideally in biomedical or chemistry or life sciences domain.
Familiarity with LLM fine-tuning, evaluation, or RLHF is a plus.
Strong programming skills (Python, PyTorch or TensorFlow).
Experience bringing ML models to production or collaborating closely with engineers.
Excellent communication and collaboration skills.
Fluent English, both written and spoken.
Stack: Python, PyTorch, Hugging Face, Kubernetes, AWS

#LI-MD1

What we offer

Flexible work organization
Friendly and informal working environment
Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

Please complete the form and submit your CV.
Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).
The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,