Machine Learning Engineer

About

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$200,000.00/yr - $250,000.00/yr Recruitment Consultant-Credit Risk and Data Science (Phoenix) at Harnham

Job Description

Join an AI-native biotechnology company at the forefront of transforming cancer treatment and systems biology. This role offers the chance to work in a nimble, innovative environment with a highly technical interdisciplinary team. You will design and build systems for scalable, distributed training and inference of machine learning models, specifically custom vision transformers developed in-house. Collaborating with the ML and Engineering teams, you'll optimize systems for research iteration and scaling while solving complex, impactful challenges. Key Responsibilities: Design and build systems for distributed training and inference of custom ML models. Collaborate with ML and Engineering teams to develop and scale ML platforms. Optimize data loaders and model architectures for performance. Develop solutions for scalable model result analysis. Qualifications: 2+ years of experience in building systems for distributed ML training and inference (using GPUs, AWS, etc.). Strong proficiency with PyTorch and experience in ML model and data loader development. Familiarity with modern frameworks like Ray, PyTorch Lightning, and Huggingface Accelerate. Problem-solving mindset with an adaptable and collaborative approach. This is an exciting opportunity to make an impact in the biotech industry and contribute to groundbreaking therapies. Seniority level

Entry level Employment type

Full-time Job function

Other Industries: Medical and Diagnostic Laboratories

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Nice-to-have skills

• Machine Learning
• PyTorch
• GPUs
• AWS
• California, United States
  
  

Work experience

• Embedded
• Machine Learning
• Computer Vision
  
  

Languages

• English