⚡ Senior Machine Learning Research Engineer

🏥 Series B ($170M)

🗺️ SF Bay, Hybrid

💰 Up to $275K base benefits equity

Are you looking for an exciting opportunity to be part of an exciting ML function at a revolutionary AI drug discovery Unicorn?

Join a Series B Biotech who are revolutionizing drug development using AI to decode RNA biology and RNA therapeutics. Their platform enables them to decode complex RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods.

As a Principal MLRS, you will work closely with engineers and experimental scientists to advance the R&D technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company.

You will also play a key role in shaping the design and execution of ML research projects by harnessing the latest methodologies and best engineering practices, including foundation models, transformers and generative AI. In addition, your responsibilities will encompass team coordination, talent acquisition, and seamless collaboration with other departments within the organization.

Responsibilities

• Design and develop novel machine learning models for RNA structure prediction and drug targeting.
• Evaluate and advance the state of the art of our structure prediction platform.
• Collaborate with the biosciences team on the targeted acquisition of experimental data to improve our machine learning models.
• Develop high-quality code in a team setting.
• Work with the engineering team for model training and deployment and guide the data pipeline development.
• Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.
• Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.

Why apply:

• Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.
• 5 years of experience developing machine learning methods for scientific applications.
• Foundational knowledge of machine learning and underlying mathematical concepts.
• Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
• Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.

Nice to have:

• Publications at major machine learning conferences or in major scientific journal
• Research experience related to structural biology, molecular design, and drug discovery.
• Foundational knowledge of physics, chemistry, and molecular biology.
• Demonstrated ability to develop performant code.

📧 Interested in applying? Please click on the ‘Easy Apply’ button, and connect with myself on LinkedIn.

⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and intel