Responsibilities
- Create full-cycle machine learning systems for retrieval-augmented generation, vector-based search, and fine-tuning workflows.
- Construct and refine data pipelines that combine structured, unstructured, and embedding data into ML processes.
- Build reusable tools and frameworks for extracting data, assessing model performance, and benchmarking large language models.
- Partner with data science and product teams to convert business challenges into scalable ML system designs.
- Investigate, test, and deploy cutting-edge methods in semantic search, embeddings, and prompt engineering.
- Develop evaluation methods for ML systems using relevance scoring, quality assessment, and human feedback loops.
- Ensure ML workflows are efficient and scalable, especially for high-volume embedding creation and retrieval.
- Collaborate with platform engineers to deploy ML frameworks in production environments.
- Maintain documentation for system designs and establish internal standards for AI/ML development.
Benefits
- Choice of medical, dental, and vision insurance for employees and their families.
- Optional supplemental insurance for life, accidents, or critical illness.
- Flexible paid time off, sick leave, and short- and long-term disability coverage.
- 10 observed U.S. holidays and provincial statutory holidays in Canada.
- Stipend provided for home office setup.
- 401(k) plans for U.S. employees and RRSP options for Canadian employees.
- Paid leave available for new parents.
- Program supporting local in-person team gatherings.
- Physical work hubs located in San Francisco and Toronto.
Work Arrangement
Hybrid — San Francisco, Toronto
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.
- Official recruitment communications originate only from @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com, or no-reply@canditech.io.
- Resumes and inquiries are not accepted through email or social media channels.
- Fraudulent domains such as “careers-evenuplaw.com” and “careers-evenuplaws.com” exist; report impersonation to talent-ops-team@evenuplaw.com.
