Machine Learning Engineer for Medical AI
3 days ago
We are looking for an experienced machine learning engineer to join our team and help drive the development of innovative AI solutions for the healthcare industry. As a key member of our engineering team, you will be responsible for designing, building, and deploying cutting-edge machine learning models into production.
Your primary focus will be on developing and deploying deep learning libraries (e.g., PyTorch, Jax, TensorFlow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. You will work closely with our research team to develop and deploy state-of-the-art models into production. Additionally, you will contribute to the wider research community by sharing and publishing original research.
In this role, you will have the opportunity to work on a wide range of projects, from developing new machine learning models to deploying them in real-world clinical settings. You will also have the chance to collaborate with clinicians, researchers, and engineers to understand the needs of the healthcare industry and develop solutions that meet those needs.
The ideal candidate will have significant real-world impact, as demonstrated through open source contributions and deployed technology. A strong programming skills, as well as proven experience crafting, prototyping, and delivering machine learning solutions into production, are essential.
This is a full-time position based in San Francisco, with a salary range of $225,000-$325,000 per year + Equity. If you are passionate about AI research and its applications in healthcare, we encourage you to apply.
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