Senior Manager, Machine Learning

Location

Toronto (hybrid), Remote-Canada

Full time

Hybrid

Data Science

• Estimate Salary: CA $186,946 – CA $245,959
  • Offers Equity

The salary range provided reflects the compensation that Even Up reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.

Even Up is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at

We are seeking a Senior Manager of Machine Learning to help build and scale a core ML function s role will report to the Director of Machine Learning (or Head of Data Science) and will play a key leadership role in delivering applied machine learning systems across several high-impact, GenAI-heavy product areas, including Document Generation, Agentic Systems (including Voice Agents, etc.),

and Data and Knowledge Management.

You will be responsible for leading a team of ML engineers and scientists, translating product needs into robust ML solutions, and ensuring models and systems are production-ready, scalable, and impactful. This is a hands‑off leadership role ideal for someone who enjoys building teams, shipping ML-powered products, and operating at the intersection of strategy and execution.

Hybrid:
We’d like you to come into one of our hubs at least three days a week. That said, if you’re located somewhere else, we’re open to discussing a fully remote setup.

• Lead, mentor, and grow a team of Machine Learning engineers and scientists
• Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
• Partner closely with Product and Engineering to define scope, priorities, and delivery plans
• Design, build, and deploy production‑grade ML and GenAI systems using LLMs and modern ML tooling
• Establish and reinforce best practices for model development, evaluation, deployment, and iteration
• Balance short‑term delivery with long‑term technical quality and scalability

• Experience managing and developing ML or data science teams in a fast‑paced environment
• Deep technical expertise in machine learning, NLP, generative AI, and LLMs
• Knowledge and experience in fine‑tuning and post‑training LLMs, reinforcement learning, etc.
• Ability to translate ambiguous product problems into well‑scoped ML solutions
• Proven track record of shipping ML‑powered features into production
• Strong cross‑functional collaboration and communication skills
• A builder mindset with a desire to grow teams, systems, and technical ownership over time

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