Senior Machine Learning Scientist, ML Research

Atomwise is a technology-enabled pharmaceutical company leveraging the power of AI to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; this technology underpins Atomwise’s best-in-class AI discovery engine, which is differentiated by its ability to find and optimize novel chemical matter.

Atomwise has extensively validated its discovery engine, delivering success in over 185 projects to-date including a wide-variety of protein types and numerous “hard-to-drug” targets. Atomwise is building a wholly owned pipeline of small-molecule drug candidates, with three programs in lead-optimization and over 20 programs in discovery. The company has raised over $174 million from leading venture capital firms to advance its mission to make better medicines, faster. 

We are looking for a Senior Machine Learning Scientist to join our ML Research group. The team designs and implements the deep learning and AI architectures that power our discovery and development pipeline, with a strong focus on original research and publications. The position reports to the Director, ML Research. As a Senior Machine Learning Scientist at Atomwise, you will:

• Design/identify, implement, and validate the next generation of machine/deep learning and AI model architectures and tools at Atomwise.
• Use your machine learning expertise in the development of strategies that address challenges at the forefront of structural biology and computational chemistry.
• Take the lead on publishing and presenting cutting-edge research in high-impact journals and international conferences.

As part of a dynamic R&D team, you will interact daily with other machine learning scientists/engineers, computational chemists, biologists, software engineers, data scientists, and cheminformaticians. 

Required qualifications

• Ph.D in Computer Science, Mathematics, Statistics, Computational Chemistry/Physics, or a related quantitative discipline.
• Expert machine learning research skills, demonstrated by a strong publication record at leading conferences or journals, or other substantial contributions to the field.
• Solid analytical and statistical skills.
• Scientific rigor, healthy skepticism, and detail-orientation in developing and analyzing machine learning models.
• Expert knowledge of the Python machine learning frameworks, e.g., PyTorch or TensorFlow.
• Comfortability with Linux command-line environment.
• Pro-active team player and creative problem solver.

Preferred qualifications

• Experience with one or more areas of geometric deep learning, generative models, and reinforcement learning.
• Experience with creating scalable methods that utilize vast amounts of data.
• Experience with cloud computing environments (AWS/Azure/GCE).
• Ability to deliver production-quality code; experience with code review.
• Familiarity with open challenges in AI-driven drug discovery.

Compensation & benefits

• Great colleagues.
• Competitive salary, commensurate with experience.
• Stock compensation plan – you’ll be an Atomwise co-owner.
• Platinum health, dental, and vision benefits.
• 401k with 4% match.
• Funding for professional development and conference attendance.
• Generous parental leave.
• Flexible work schedule.

Atomwise is an equal opportunity employer and strives to foster an inclusive workplace.  Our mission is to develop better medicines faster, and we know that we need a diverse team to develop medicines that serve diverse populations.  Accordingly, Atomwise does not make any employment decisions (including but not limited to, hiring, compensation, and promotions) on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, veteran status, disability status, or any other characteristics protected by applicable federal, state, and local law.

We strongly encourage people of diverse backgrounds and perspectives to apply.