Senior Machine Learning Engineering Manager

What you'll do

• Lead ML projects and manage, review, and develop team members.
• Guide development and production deployment of ML solutions, APIs, and AI services across the model lifecycle.
• Ensure quality, resolve technical issues, document system designs, and protect healthcare data in accordance with HIPAA.

What they ask for

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
• 8+ years of industry experience focused on ML solutions development and production deployment, or 4 years with a Master's degree.
• 3+ years of engineering management experience with teams of 4 or more engineers.
• Strong OOP, design patterns, algorithms, and software development skills; proficiency in Python and familiarity with PyTorch.

Nice to have

• Familiarity with AWS or Azure and GenAI services such as OpenAI GPT, Anthropic Claude, or Google Gemma; prompt development and fine-tuning experience.
• Experience across the AI development lifecycle.

Pay

$189,600 — $237,000 USD (base salary); $174,000 — $217,500 USD (base salary); $158,000 — $197,500 USD (base salary)

Tools

Python, PyTorch, AWS, Azure, OpenAI GPT, Anthropic Claude, Google Gemma, HIPAA

AI focus

Build and productionize ML, NLP/NLG, multimodal, GenAI, chatbot, virtual-agent, document-understanding, search, and RAG-based QnA capabilities.