Sr. Machine Learning Engineer Job at Harnham, San Francisco, CA

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  • Harnham
  • San Francisco, CA

Job Description

SR. MACHINE LEARNING ENGINEER

SAN FRANCISCO, CA (Hybrid)

$200,000 - $290,000 Salary

Company:

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 systems for ML training and inference
  • Experience working with Large GPU Clusters
  • AWS
  • Strong proficiency in PyTorch
  • Experience with ML frameworks
  • Deep understanding of cloud computing platforms, distributed systems, and scalable infrastructure.
  • Strong Communicator

Nice-to-have's:

  • Ray Framework
  • Kubernetes
  • Sagemaker
  • Optimization of data loaders
  • Experience working with multiple data modalities (e.g., images, sequences)
  • Built custom data pipelines
  • Experience deploying production software

If you're interested please click apply. If you're REALLY interested - please email meredithmarkowitz@harnham.com with your current resume and the following information:

  1. Current location
  2. Years of Experience
  3. Tools/models you work with
  4. How your experience compares to role qualifications
  5. Your availability for a quick introductory call

Job Tags

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