ML Research Scientist Senior Staff Principal
ML Research Scientist Senior Staff Principal
Posted on :
11-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
11-04-2025
Job Description
About the Team
Were a tightknit 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 10000s of CPUs.
About the Role
Were 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 platforms 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 stateoftheart 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 firstprinciplesbased conceptualization to stateoftheart realization.
- Strong coder who is not afraid of deep dives into engineering whenever necessary.
- Curious problemoriented 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 haves
- PhD in machine learning computer science other computational sciences or equivalent research experience and strong publication record at top tier ML venues are preferred.
- Handson 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 physicsinformed 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 shortterm disability insurance.
About Genesis Therapeutics
Our team has created the industrys 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 firstinclass and bestinclass small molecule for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against highvalue targets including datapoor and canonically undruggable targets where GEMS is uniquely advantaged. In addition Genesis has signed AIfocused 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 (NVIDIAs 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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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