
10,000+ employees
💊 Pharmaceuticals
🧬 Biotechnology
🔬 Science
💰 $5G Post IPO equity on 2021-09
Pharmaceuticals • Biotechnology • Science
Roche is a global, research-driven healthcare company that discovers, develops and provides pharmaceuticals, diagnostics and digital health solutions to improve patient outcomes and advance medical science. With integrated strengths in pharmaceutical R&D and diagnostic testing, Roche focuses on early detection, targeted therapies and innovation (including AI-driven tools) to prevent, halt and cure disease across areas like oncology, neurology and other complex conditions. The company also engages with investors, partners and healthcare systems worldwide to deliver sustainable, science-based solutions.
🕒 February 18
🏢🏡 San Francisco – Hybrid
💵 $147.8k - $320.2k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
💊 Pharmaceuticals
🧬 Biotechnology
🔬 Science
💰 $5G Post IPO equity on 2021-09
Pharmaceuticals • Biotechnology • Science
Roche is a global, research-driven healthcare company that discovers, develops and provides pharmaceuticals, diagnostics and digital health solutions to improve patient outcomes and advance medical science. With integrated strengths in pharmaceutical R&D and diagnostic testing, Roche focuses on early detection, targeted therapies and innovation (including AI-driven tools) to prevent, halt and cure disease across areas like oncology, neurology and other complex conditions. The company also engages with investors, partners and healthcare systems worldwide to deliver sustainable, science-based solutions.
• Develop novel machine learning methods to answer challenging research questions in large molecule drug discovery. • Work with biological and chemical data from heterogeneous sources. • Contribute to an initiative to consolidate projects in machine learning theory into a single coherent model for lab-in-the-loop drug discovery. • Lead an initiative to consolidate projects in machine learning theory into a single coherent model for lab-in-the-loop drug discovery.
• Significant education in computer science or the life and physical sciences, or equivalent work experience: for example, anything from a BS+7 to PhD+2 years, with experience designing and building machine learning systems, particularly for molecules and biological sequences. • Demonstrated experience with Python and deep learning libraries such as PyTorch, TensorFlow, or JAX. • Familiarity with areas of modern machine learning research, such as reinforcement learning, sampling, and multimodal representation learning. • Demonstrated research experience, including at least one first author publication or equivalent. • Strong communication and collaboration skills. • Portfolio of computational projects (available on e.g. GitHub).
• A discretionary annual bonus may be available based on individual and Company performance.
Apply Now🕒 February 7
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