Hybrid Senior Machine Learning Engineering Manager

at EvenUp

• Job title: Senior Machine Learning Engineering Manager
• Job type: Full Time
• Experience level: Senior
• Salary: $194,790 - $292,016 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, San Francisco, United States

About the role

• Senior Machine Learning Engineering Manager building and leading the ML team for AI products in personal injury law tech. Driving strategic initiatives and high-impact deliverables for business growth.

Responsibilities

• Build and lead a new Machine Learning team; drive hiring, mentoring, vision, and culture from day one.
• Design and execute a clear roadmap across Document Generation (primary), Voice Agents, and agent-based Knowledge Base systems.
• Provide hands-on technical leadership in LLMs, ML, and GenAI, setting best practices and engineering standards for the function.
• Collaborate cross-functionally with Product and Engineering to align priorities, unblock teams, and ensure delivery of impactful solutions.
• Deliver visible product impact fast, with clear successes in the first 90 days—especially within Document Generation—and scale the team to a robust, autonomous ML function within the first year.

Requirements

• Proven success building and managing high-performing ML or Data Science teams, ideally from scratch in fast-paced, startup-like environments.
• Deep domain expertise in machine learning, NLP, LLMs, and generative AI, with hands-on experience taking systems to production.
• Excellent cross-functional communication and leadership skills, with a strong record of partnering closely with Product and Engineering.
• Experience and comfort with ML engineering languages and frameworks—Python, PyTorch (or similar), and modern LLM/generative AI tooling.
• A true builder’s mentality: ready to launch, scale, and shape a new technical domain within a rapidly growing company.
• Experience in industries such as SaaS, fintech, big tech, or startups, with roles such as Senior Engineering Manager (ML), Director/Head of ML, or Senior Applied Scientist Manager.
• 3+ years of experience directly leading and managing a machine learning or data science team, and at least 5+ years of hands-on professional experience in machine learning engineering or related fields.
• Deep hands-on expertise in machine learning, NLP, LLMs, and generative AI, with a successful record of deploying production ML systems.
• Strong experience with Python and major ML/NLP frameworks (such as PyTorch, TensorFlow, Hugging Face, or similar).
• Demonstrated ability to build teams and functions from scratch, lead roadmap development, and drive execution in fast-paced, ambiguous environments.
• Experience working in a high-growth startup environment.
• Excellent cross-functional communication and leadership skills, with a track record of partnering closely with Product and Engineering stakeholders.

Benefits

• Choice of medical, dental, and vision insurance plans for you and your family.
• Additional insurance coverage options for life, accident, or critical illness.
• Flexible paid time off, sick leave, short-term and long-term disability.
• 10 US observed holidays, and Canadian statutory holidays by province.
• A home office stipend.
• 401(k) for US-based employees and RRSP for Canada-based employees.
• Paid parental leave.
• A local in-person meet-up program.
• Hubs in San Francisco and Toronto.