Foundation and generative models for biomolecules
At Inceptive, you will drive forward development that could help billions of people. You will be part of a collaborative, interdisciplinary team building our biological software. The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions. We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding. You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs. Responsibilities Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design Analyze, visualize, and communicate results to support team efforts in improving models and data Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production Work with biologists to collect data for the training and evaluation of generative models of biomolecules Provide mentorship and technical direction to team members as appropriate Qualifications 3+ years of hands-on experience developing ML models Demonstrated track record of implementing, training, improving advanced machine learning models Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET Readiness to travel several times a year for company retreats and business events Compensation $200K – $275K + Bonus + Equity Benefits A competitive compensation package 30 days paid vacation per year Comprehensive health insurance for US based employees 401K with company match for US based employees and Direktversicherung for German employees Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone A buddy to help you get settled At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.
PhD in AI/ML, computer science, computational biology, physics, or a related field
Strong skills in designing, executing, and documenting machine learning experiments
Practical experience with modern generative models
Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration
Experience with large-scale model training, foundation models, model parallelism, multi-node training
Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc
Knowledge of biochemistry, molecular/cell biology, and drug development