Machine Learning Engineer - Health AIML

What you'll do

• Develop and evaluate machine learning and deep learning models and systems.
• Apply engineering best practices and research techniques to health and consumer-product problems.
• Collaborate cross-functionally to deliver systems with machine learning capabilities.

What they ask for

• 7+ years of professional experience in industry or academia.
• Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.
• BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).

Nice to have

• Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field.
• Strong background in generative models, natural language processing (NLP), and large language models (LLMs); 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.

Pay

$216,200 and $324,800 (base salary range)

Tools

machine learning, deep learning, generative AI, natural language processing (NLP), large language models (LLMs)

AI focus

Develop and evaluate machine learning systems for health applications, including generative AI, NLP, and LLMs.