Senior Machine Learning Engineering Manager

the team to a robust, autonomous ML function within the first year. What we look for: 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. Minimum

qualifications: 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. Preferred

qualifications: 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. Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page ( evenuplaw.com/careers ) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, [email protected] or no‑[email protected] email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page . If you receive communication from someone you believe is impersonating EvenUp, please report it to us at [email protected]. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits &

Perks: As part of our total rewards package, we offer attractive

benefits and

perks to our employees, including: 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. Please note the above

benefits &

perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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