Senior ML/Research Engineer
Paris
About us Owkin is an AI company on a mission to solve the complexity of biology. It is 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 new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. 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:
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.
- 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
- Flexible work organization
- Friendly and informal working environment
- Opportunity to work with an international team with high technical and scientific backgrounds
- 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.
- 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 this address [email protected]
- contact the following authorities:
- [FR]
- [UK]
- [US]
Publié le 2025-11-15
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