Sr. Machine Learning Engineer

SR. MACHINE LEARNING ENGINEERSAN FRANCISCO, CA (Hybrid)$200,000 - $290,000 SalaryCompany:Our client is an AI- Native biotechnology company focused on harnessing machine learning to solve complex challenges in healthcare. By combining advanced AI techniques with cutting-edge research, they aim to develop innovative solutions that transform the landscape of medicine. The Role:As a Sr. MLE, you'll work with a highly technical, interdisciplinary team to design and scale systems that support the research and development of transformative therapies. This role will have a focus on optimizing infrastructure and systems for scalable training and deployment of ML models.Key Responsibilities:Design, build, and maintain distributed systems for training and inference of machine learning models at scale (e.g., vision transformers).Manage GPU clusters and cloud infrastructure, ensuring efficiency and scalability for large-scale workloads.Collaborate with ML and Engineering teams to implement an ML Platform that streamlines both research iteration and scaling.Optimize model architectures, data loaders, and training pipelines for performance and efficiency.Develop systems for effective analysis of model results and scalable deployment solutions.Qualifications:Proven experience building and scaling distributed systemsfor ML training and inferenceExperience working with Large GPU ClustersAWSStrong proficiency in PyTorch Experience with ML frameworksDeep understanding of cloud computing platforms, distributed systems, and scalable infrastructure.Strong Communicator Nice-to-have's:Ray Framework KubernetesSagemakerOptimization of data loadersExperience working with multiple data modalities (e.g., images, sequences)Built custom data pipelines Experience deploying production softwareIf you're interested please click apply. If you're REALLY interested - please email meredithmarkowitz@ with your current resume and the following information:Current location Years of Experience Tools/models you work with How your experience compares to role qualifications Your availability for a quick introductory call

Created: 2025-01-30