⚡ Senior / Staff / Principal Machine Learning Research Scientist

🏥 $400M Series B Biotech

🗺️ Remote

💰 Up to $300k Base Significant Equity Bonus 401(k) program

Interested in joining a start-up that are revolutionizing the AI Drug Discovery world?

They are building a world-class ML team to accelerate the use to computational methods in AI drug discovery. You will lead the research for generative modeling of molecular systems, to help drive the innovative research that will enable new cures to be found for a wider range of diseases, faster than ever.

⭐ Responsibilities:

• Lead transformative research projects that enhance the the AI platform's capabilities, focusing on generative models for molecular systems.
• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.
• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production.
• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange.
• Have the opportunity to mentor and guide more junior members of our technical team as well as research interns, fostering an environment of growth and innovation.

⭐ Requirements:

• A deep learning expert with a track record of doing novel research in one or more of the following domains: denoising diffusion, normalizing flows, flow matching, neural ODEs and SDEs, or other cutting edge generative or predictive machine learning models.
• Independent thinker with a strong sense of ownership and capability of driving research ideas from first-principles-based conceptualization to state-of-the-art realization.
• Strong coder who is not afraid of deep dives into engineering whenever necessary.
• Curious, problem-oriented thinker who is excited to dive deep into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries (no previous experience in anything but ML necessary).

⭐ Bonus Qualifications:

• PhD in machine learning, computer science, other computational sciences or equivalent research experience and strong publication record at top tier ML venues are preferred.
• Hands-on experience with some of the core libraries we use: Pytorch, Pytorch Lightning, Pytorch Geometric.
• Experience in distributed training and inference of large models on GPU clusters.
• Experience working with some of the following: molecular systems (protein sequences and 3D structures, small molecules, etc.), ML force fields or other physics-informed models and methods, or point cloud data in other application domains, such as 3D graphics.

⭐ What They Offer

• Competitive compensation package that includes salary and equity.
• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
• 401(k) plan.
• Open (unlimited) PTO policy.
• Free lunches and dinners at our offices.
• Paid family leave (maternity and paternity).
• Life and long- and short-term disability insurance.

⚡ Storm3 is a HealthTech recruitment firm with clients across London, Europe and North America. To discuss open opportunities or career options, please visit our website www.storm3.com and follow the Storm3 Linked In page for the latest jobs and intel.