Responsibilities
- Lead the creation and structural planning of high-capacity machine learning systems supporting retrieval-augmented generation, vector-based search, and model adaptation techniques across various product domains.
- Shape the technical direction and establish engineering standards for ML system development, including pipelines for embeddings and frameworks for performance assessment.
- Deliver direct technical oversight by evaluating system designs, code submissions, and architectural proposals to raise engineering quality across the ML organization.
- Work closely with Product and Engineering teams to convert unclear business objectives into well-defined, effective machine learning system designs.
- Advance innovation in semantic search and generative AI evaluation through rapid prototyping and integration of emerging methods such as LoRA into production environments.
- Develop and maintain reusable frameworks and abstractions that ensure machine learning workflows are consistent, scalable, and widely applicable across teams.
- Define and implement evaluation benchmarks for system performance, emphasizing relevance, response speed, cost-effectiveness, and operational reliability.
- Guide long-term planning by identifying shortcomings in existing ML tools, infrastructure, and developer workflows.
- Support and mentor engineers to promote technical mastery and ongoing professional development.
Benefits
- Flexible selection of health, dental, and vision insurance options for employees and dependents.
- Optional supplemental insurance plans covering life, accidental injury, and critical illness.
- Flexible paid time off, sick leave, and both short- and long-term disability benefits.
- Observance of 10 U.S. holidays and statutory holidays in Canada by province.
- Stipend provided for setting up a home office workspace.
- Retirement savings plans: 401(k) for U.S. employees and RRSP for Canadian employees.
- Paid leave available for new parents.
- Program supporting in-person team gatherings locally.
- Physical office locations in San Francisco and Toronto.
Work Arrangement
Hybrid — Toronto, San Francisco
Other
- The company is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Full-time employees qualify for the benefits and perks outlined in the job posting.
- There have been reports of fraudulent job listings and impersonation; official job postings appear only on evenuplaw.com/careers, LinkedIn, or Indeed, and official communications come from @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com, or no-reply@canditech.io.
- Applications must be submitted through the official careers website; resumes or expressions of interest sent via email or social media platforms are not accepted.
- Suspected cases of impersonation should be reported to talent-ops-team@evenuplaw.com.
