Senior Machine Learning Engineering Manager (AI)

TL;DR

Senior Machine Learning Engineering Manager (GenAI): Build and lead a new Machine Learning team focusing on Document Generation, Voice Agents, and agent-based Knowledge Bases with an accent on LLMs, NLP, and production systems. Focus on designing roadmaps, providing hands-on technical leadership, hiring and mentoring, and delivering rapid product impact in high-growth SaaS.

Location: San Francisco (hybrid); Remote-US; Toronto. Ability to work in a hybrid setting from one of our office hubs in Toronto or San Francisco.

Salary: $194,790 – $292,016 • Offers Equity

Company

Fast-growing vertical SaaS company using technology and AI to close the justice gap for personal injury lawyers and victims.

What you will do

• 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
• Collaborate cross-functionally with Product and Engineering to align priorities and ensure delivery of impactful solutions
• Deliver visible product impact fast, with clear successes in the first 90 days and scale the team within the first year

Requirements

• 3+ years directly leading and managing a machine learning or data science team, 5+ years hands-on in ML engineering
• Deep hands-on expertise in machine learning, NLP, LLMs, and generative AI with production deployments
• Strong experience with Python and major ML/NLP frameworks (PyTorch, TensorFlow, Hugging Face, or similar)
• Demonstrated ability to build teams and functions from scratch in fast-paced, ambiguous environments
• Experience in high-growth startup environments and cross-functional collaboration with Product and Engineering
• Excellent communication and leadership skills

Nice to have

• PhD in Machine Learning, Computer Science, or other quantitative fields
• Passion for driving fairness and accessibility in the legal domain

Culture & Benefits

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