Senior Machine Learning Engineering Manager

EvenUp•San Francisco, CA

8d•Hybrid

About The Position

EvenUp is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to get the justice they deserve. Their products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims. EvenUp is one of the fastest-growing vertical SaaS companies, backed by top VCs. This role is a unique opportunity to create and lead a brand-new Machine Learning and Generative AI function, focusing on high-visibility, high-impact generative AI products that are core to the customer experience and business growth. The Senior Machine Learning Engineering Manager will partner closely with Product and Engineering leaders to shape strategy and technology roadmap, own critical GenAI-driven product areas including Document Generation, Knowledge Bases, and Agentic Systems, and drive real product outcomes from the ground up. This high-priority, business-critical role empowers the individual to hire, create, and scale a top-tier ML team, deliver rapid product wins early, and set a vision for how ML will shape both customer impact and company success. The work will translate to tangible product launches, a strong ML foundation, and a direct influence on the success of an ambitious, fast-growing company.

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.
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.

Nice To Haves

PhD in Machine Learning, Computer Science, or other quantitative fields.
Passion for EvenUp's mission of driving fairness and accessibility in the legal domain.
Ability to work in a hybrid setting from one of our office hubs in Toronto or San Francisco.

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.