Director Machine Learning Research
Director Machine Learning Research
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
About the Team
Genesis 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 undruggable targets requires new ideas.
We are seeking curious explorers who seek the space to try new things with ample support and a path to grow. Youll 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 crossfunctionally to productionize stateoftheart machine learning models.
This position combines strategic vision technical leadership and team mentorship to ensure Genesis Therapeutics remains at the forefront of machine learning for drug discovery.
Responsibilities
- Develop and implement the strategic vision for the ML Research group ensuring alignment with company goals.
- Serve as a thought leader in stateofthe art ML research using the latest approaches in diffusion models equivariant neural nets and predictive MLRepresent Genesis 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 prediction generative modeling and proteinligand interactions.
- Prioritize and balance shortterm project deliverables with longterm 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 crossdisciplinary teams including computational chemists software engineers and drug discovery scientists to deliver impactful MLdriven solutions.
- Collaborate with the Engineering team to deploy ML models into scalable production environments.
- Communicate findings and progress effectively to stakeholders at all 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 augment inhouse capabilities.
- Lead and mentor a highperforming team of ML Research Scientists and ML Research Engineers.
- Foster a collaborative innovative and growthoriented team culture.
- Manage recruitment performance evaluations and career development for team members.
Qualifications
- PhD in Computer Science Machine Learning Physics or a related 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 realworld 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 stateoftheart ML frameworks (e.g. PyTorch TensorFlow JAX) and distributed computing environments.
- Demonstrated ability to lead mentor and inspire 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 focus.
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:
Director
Employment Type
Full-Time
Key Skills
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