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Senior AI/ML Research Engineer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at the Chan Zuckerberg Initiative. As a key member of our AI/ML team, you will play a critical role in developing and optimizing state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
Key Responsibilities- Work with our research scientists to develop, optimize, deploy, and maintain large-scale machine learning models, systems, and software tools that enable the analysis and interpretation of complex biology data sets and natural language.
- Collaborate with our team to build, deploy, and maintain AI agents for science, leveraging our 1000xH100 GPU compute cluster and distributed training infrastructure.
- Build, train, and evaluate multimodal foundation models, working with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, scientific literature, and more.
- Interface with our AI cluster infrastructure team to build and maintain world-class AI modeling capabilities.
- Collaborate with our cross-functional team members to quickly iterate on system performance and scaling to meet/stay ahead of users' needs.
- 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.
- Ability to expand core pieces of AI software libraries (pytorch, (Num)pyro, etc.) or build new ones if necessary.
- Expertise in using modern frameworks for distributed computing and infrastructure management, particularly as related to ML models (e.g Ray, High Performance Compute (HPC), Distributed PyTorch, etc).
- Masters or Ph.D in computer science with a focus on machine learning & data analytics, or equivalent industry experience and at least 3-5 years of experience developing and applying machine learning methods.
- A good working knowledge of general software engineering practices in a production environment, including experience with control systems like Git and containerization technologies like Docker and Kubernetes.
- The ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
We offer a competitive salary range of $190,000 - $285,000, depending on location and experience. We also provide a comprehensive benefits package, including a generous employer match on employee 401(k) contributions, annual benefit for employees, CZI Life of Service Gifts, paid time off to volunteer, funding for select family-forming benefits, relocation support, and more.
We are committed to diversity, equity, and inclusion, and we strive to create a workplace where everyone feels welcomed, respected, supported, and valued. If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
