Senior ML/Research Engineer
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Job Description
Research & Machine Learning Engineer at Owkin building advanced AI for biomedical research. Collaborating with a multi-disciplinary team to develop machine learning models for complex biological datasets.
Responsibilities:
- 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.
Requirements:
- 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
Benefits:
- Flexible work organization
- Friendly and informal working environment
- Opportunity to work with an international team with high technical and scientific backgrounds
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