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Senior AI/ML Research Engineer
2 months ago
The Chan Zuckerberg Initiative is seeking a highly skilled Senior AI/ML Research Engineer to join our team. As a key member of our AI/ML team, you will play a critical role in developing and deploying state-of-the-art machine learning models to accelerate scientific discovery in the biomedical sciences.
Key Responsibilities- Develop and optimize large-scale machine learning models for biomedical data analysis and interpretation
- Collaborate with research scientists to iterate on and deploy machine learning models and systems
- Work with the team to build and maintain AI agents for scientific discovery
- Build, train, and evaluate multimodal foundation models using our 1000xH100 GPU compute cluster and distributed training infrastructure
- Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, and scientific literature
- Proven track record in developing AI/ML models for large-scale clusters (CPUs and GPUs) and distributing computational load across multiple nodes to optimize performance
- Knowledge of deploying models for both batch and real-time (endpoint) inference
- Experience in fine-tuning and/or pre-training large models with optimized code to maximize hardware utilization
- A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, TensorFlow, NumPy, Pandas, and Scikit-learn
The Chan Zuckerberg Initiative offers a competitive salary range of $190,000 - $285,000, depending on experience. We also provide a comprehensive benefits package, including a generous employer match on employee 401(k) contributions, annual benefits for employees, and funding for select family-forming benefits. Additionally, we offer relocation support for employees who need assistance moving to the Bay Area.
About UsThe Chan Zuckerberg Initiative is a philanthropic organization dedicated to advancing human knowledge and improving outcomes in education, science, and justice. We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued.
