Senior ML/Research Engineer

November 4

Apply Now

Receive Emails with Similar Jobs

Owkin

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Healthcare Insurance • Biotechnology

Owkin is a pioneering company operating at the intersection of artificial intelligence and healthcare. By integrating AI with complex biological data, Owkin aims to advance drug discovery and diagnostics, particularly in oncology. It collaborates with prominent academic centers and pharmaceutical companies to develop AI models that predict disease risk, identify novel biomarkers, and enhance clinical trials. Owkin's federated research network and multimodal data approach enable it to leverage extensive patient data while ensuring privacy, fostering innovation in treatments and diagnostics. Through collaborations and cutting-edge AI technologies, Owkin seeks to transform drug development and personalize patient treatment strategies.

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 Description

• 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