Senior Director of Machine Learning & AI

Atomwise is a leading artificial intelligence (AI) drug discovery company, based in San Francisco, CA. We created our EXAct computation-first, AI-driven drug discovery engine to efficiently and repeatedly engineer small molecules to improve human health and agricultural productivity. Along the way, we are solving some of the most challenging problems at the intersection of machine learning, AI, data science, and chemical/biological sciences. Do you like to work on hard problems where your solutions will have an impact? Then join us!

We are looking for a hands-on Director or Senior Director level scientist to lead our Machine Learning & AI research group. The group 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 VP of machine learning cheminformatics & research. As a (Senior) Director of Machine Learning & AI at Atomwise, you will:

• Design/Identify, implement and validate the next generation of machine/deep learning and AI model architectures and tools at Atomwise.
• Manage and grow an industry-leading team of a half dozen PhD ML scientists and engineers to meet our fast-growing needs for high-performance, predictive models across our pipeline.
• Establish and manage collaborations with leading academic groups and partners.
• Take the lead on publishing and presenting Atomwise technologies in high-impact journals and international conferences.

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

Required qualifications

• Ph.D in Computer Science, Mathematics, Computational Chemistry/Physics, Cheminformatics, or a related quantitative discipline
• A recognized leader in the field of machine learning and AI, demonstrated by a strong publication record or other major contributions to the field
• Experience with one or more areas of geometric deep learning, generative models, and reinforcement learning
• Experience with pre-clinical drug discovery in a pharma setting, and with large-scale cheminformatics data
• Expert knowledge of the Python machine learning frameworks, e.g., PyTorch or TensorFlow
• Pro-active team player and creative problem solver 
• Demonstrated ability to lead by influence across diverse teams and balance research against deliverables
• 7+ years of relevant experience, and 2+ years leading and growing a team
• Strong familiarity with Linux command-line environment

Preferred qualifications

• Experience creating scalable solutions utilizing vast amounts of data
• Understanding the fundamentals of biomolecular interactions
• Experience with cloud computing environments (AWS/Azure/GCE)
• Ability to deliver production-quality code; experience with code review

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.