ML Research Scientist, Foundation Models; Senior​/Principal

ML Research Scientist, Foundation Models (Senior / Staff / Principal)

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Join a world-class team at the forefront of AI and biochemistry. At Genesis Therapeutics, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our mission is to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field.

You will work side by side with top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, with ample compute and large-scale simulations.

This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines.

This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community and will support your efforts to publish breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR.

Positions are available at various levels of seniority:
Senior, Staff, and Principal.

• Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems.
• Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas.
• Execute ambitious experiments at scale, leveraging our computational infrastructure to validate hypotheses and push the state-of-the-art.
• Collaborate with a multidisciplinary team to translate research into tangible impact on the drug discovery platform.
• Contribute to the global research community by publishing work and representing Genesis at top AI/ML conferences and workshops.
• Mentor and guide other researchers and engineers, fostering a culture of learning and innovation.

• A deep learning expert with a portfolio of novel research in cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods).
• An independent, first-principles thinker with ownership over research projects.
• A strong coder, comfortable with building, debugging, and shipping models.
• A curious, problem-oriented mind, excited to explore AI, physics, chemistry, and biology intersections; no prior biology or chemistry experience is necessary—willingness to learn.
• A team player with strong communication skills in collaborative environments where science and engineering are intertwined.
• Inspired by a culture of intellectual curiosity and diverse perspectives.

• PhD in machine learning, computer science, or equivalent with a strong publication record.
• Hands-on experience with PyTorch, PyTorch Lightning, Ray Distributed Training, PyTorch Geometric, etc.
• Experience in distributed training and inference of large models on GPU clusters.
• Familiarity with molecular data, physics-informed ML, or 3D point cloud data.

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