Register Your Interest – Senior ML/Research Engineer

Register Your Interest – Senior ML/Research Engineer

Owkin is an AI company dedicated to solving the complexity of biology. We are building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot, and its LLM fine‑tuned on biology, Owkin Zero. These technologies are used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.

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 surpass language, spanning biological and multimodal data such as histology slides, spatial transcriptomics, clinical variables and 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.

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 (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.

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 disability.
• Owkin is a great place to work. As a coveted workplace we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. These scams prey on an individual’s desire to obtain a job and can sometimes feel like a genuine recruitment process. If you encounter a recruitment process that claims to be for Owkin but is not consistent with the following, please do not provide any personal or financial information:
  • 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 you have been a victim of fraud, check the identity of the talent team on LinkedIn, check our senior team on our website check the existence of the position on our website notify Owkin's recruitment unit at , and contact the following authorities:
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Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology