ML Research Scientist (Senior / Staff / Principal)

Genesis Therapeutics; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Join a pioneering team at the forefront of AI and biochemistry, where your expertise as an ML Research Scientist will drive groundbreaking innovations in drug discovery. This role offers the unique opportunity to lead transformative research projects, collaborate with top-tier engineers and biochemistry experts, and contribute to the scientific community through publications and conferences. With a competitive compensation package and a culture that fosters growth and innovation, you will play a crucial role in shaping the future of AI in biotechnology. If you're passionate about making a difference and eager to push the boundaries of science, this position is perfect for you.

Benefits

Comprehensive Health Benefits

401(k) Plan

Open PTO Policy

Free Lunches and Dinners

Paid Family Leave

Life Insurance

Disability Insurance

Qualifications

• Expertise in deep learning and generative modeling for molecular systems.
• Strong coding skills and experience in research publication.

Responsibilities

• Lead research projects to enhance AI platform capabilities.
• Design and run experiments to validate research approaches.

Skills

Deep Learning

Generative Modeling

Molecular Data Analysis

Python Programming

Research Publication

Education

PhD in Machine Learning or Computational Sciences

Equivalent Research Experience

Tools

Pytorch

Pytorch Lightning

Pytorch Geometric

Job description

ML Research Scientist (Senior / Staff / Principal)

ML Research Scientist (Senior / Staff / Principal)

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About The Team
We’re a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission — drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders.

Genesis AI team is focused on developing foundation models for drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs.

About The Role
We’re seeking an experienced ML Research Scientist to shape and lead the ML research agenda for generative modeling of molecular systems, which is instrumental to our mission. You will be at the forefront of pioneering research initiatives, driving the continuous evolution and enhancement of our AI platform, while collaborating with exceptional engineers, researchers, and a team of biochemistry experts.

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

You will

• Lead transformative research projects that enhance the Genesis 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
  
  
  
  

You are

• 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)
  
  
  
  

Nice to have's

• 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
  
  
  
  

Compensation, Benefits, And Perks

• 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
  
  
  
  

About Genesis Therapeutics
Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.

Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.

The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024).

We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.

Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Software Development, IT Services and IT Consulting, and Biotechnology Research

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