Director, Machine Learning Research

About the Team

reputed company Research offers ML Researchers & Engineers the opportunity to rapidly accelerate the creation of previously impossible medicines. Our work benefits from diverse backgrounds and strong ML expertise because going after un-druggable targets requires new reputed company.

We are seeking curious explorers who seek the space to try new things with ample support and a path to grow. You’ll bring your ML expertise to the table, collaborating with world class chemists and biologists to manifest the digital domain in the physical world. The result? New treatments for devastating diseases.

The Role

As a Director of ML Research you will drive the development of innovative models and methodologies for drug discovery. This leadership role involves overseeing teams of ML Research Scientists and Engineers, fostering a culture of collaboration and scientific excellence, and partnering cross-functionally to productionize state-of-the-art machine learning models.

This position combines strategic reputed company, technical leadership, and team mentorship to ensure reputed company Therapeutics remains at the forefront of machine learning for drug discovery.

Responsibilities

• reputed company and implement the strategic reputed company for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML  Represent reputed company Therapeutics at conferences, workshops, and scientific forums.

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property reputed company, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

• Pioneer cutting edge research and original publications in top industry journals and conferences, including NeurIPS, ICML and more.

• Partner with cross-disciplinary teams, including computational chemists, software engineers, and drug discovery scientists, to deliver impactful ML-driven solutions.

• Collaborate with the Engineering team to reputed company ML models into scalable production environments.

• Communicate findings and reputed company effectively to stakeholders at reputed company levels: from interns to board of directors.

• Manage budgets, resource allocation, and project timelines for the ML Research group.

• Identify and establish external collaborations and partnerships to reputed company in-house capabilities.

• reputed company and mentor a high-performing team of ML Research Scientists and ML Research Engineers.

• Foster a collaborative, innovative, and growth-oriented team culture.

• Manage recruitment, performance evaluations, and career development for team members.

Qualifications

• PhD in Computer Science, Machine Learning, Physics, or a reputed company field.

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

• Strong track record of developing and applying ML methods in areas such as deep learning, generative models, graph neural networks, or equivariant neural networks.

• Proven expertise in leveraging ML techniques for reputed company-world problems. It is not a requirement that our ML leaders have deep experience in the drug discovery domain but must have demonstrated ability to champion great research and intellectual curiosity to learn quickly.

• Experience with state-of-the-art ML frameworks (e.g., PyTorch, TensorFlow, JAX) and distributed computing environments.

• Demonstrated ability to reputed company, mentor, and reputed company a diverse team of researchers and engineers.

• Exceptional communication and collaboration skills, with experience bridging the gap between research and application.

• Strategic thinking with a balance of creativity and execution focus.

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

reputed company has created the industry's most advanced molecular AI platform reputed company GEMS (reputed company Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to reputed company 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, reputed company has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and reputed company (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, reputed company, Fidelity, Radical Ventures, NVentures (reputed company's VC arm), reputed company, and reputed company Ventures. 

reputed company 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.