Senior Machine Learning Engineering Manager

EvenUp

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.

Posted 4/14/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $194,790 - $292,016 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningnatural language processinglarge language modelsgenerative AIPythonPyTorchTensorFlowHugging FaceML engineeringdata science

Soft Skills

leadershipcross-functional communicationteam buildingmentoringvision settingculture developmentexecution in ambiguous environmentscollaborationproblem-solvingbuilder's mentality