Staff Machine Learning Engineer - SystemsEvenUp 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. As a Staff Machine Learning Engineer, you will develop and deploy models that power Piai™, our proprietary claims‑intelligence platform, focusing on machine learning, natural‑language processing, and generative AI.Base pay range$212,000.00/yr - $300,000.00/yrCore ResponsibilitiesLead the design and architecture of large-scale ML systems for retrieval‑augmented generation (RAG), vector search, and fine-tuning frameworks across multiple product lines.Define and drive technical strategy and best practices for ML system design, including embedding pipelines, evaluation frameworks, and integration with vector databases.Mentor and guide other engineers by reviewing designs, code, and system proposals to elevate the technical bar across the ML engineering org.Partner with product, research, and infra teams to translate ambiguous business and research goals into robust ML system architectures.Drive innovation and prototyping in areas such as semantic search, generative AI evaluation, and fine‑tuning techniques, with a focus on production‑readiness.Own the frameworks and abstractions that make ML workflows reproducible, scalable, and reusable across the company.Establish standards for system evaluation, including relevance, latency, cost efficiency, and reliability metrics, and ensure they are consistently applied.Act as a bridge between applied ML research and engineering, ensuring that new techniques (LoRA, retrieval optimizations, etc.) are integrated into production frameworks effectively.Influence long‑term roadmap and platform direction by identifying gaps in ML tooling, infrastructure, and developer experience.Represent the ML engineering team in cross‑org architectural reviews, ensuring alignment with platform, data,



and infra strategies.Optional SkillsExperience with vector databases (Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch).Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines).Strong software engineering skills (Python, distributed computing, APIs).Robust knowledge of transformer models (LLMs, embeddings, fine‑tuning methods like LoRA, PEFT).Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding).Notice to CandidatesEvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. All official EvenUp recruitment emails will come from the [email protected] ,@evenup.Ai ,@ext-evenuplaw.Com ,[email protected]‑[email protected]. If you receive communication from someone you believe is impersonating EvenUp, please report it to us [email protected] .Benefits & PerksChoice of medical, dental, and vision insurance plans for you and your familyAdditional insurance coverage options for life, accident, or critical illnessFlexible paid time off, sick leave, short‑term and long‑term disability10 U.S. observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for U.S.-based employees and RRSP for Canada-based employeesPaid parental leaveA local in‑person meet‑up programHubs in San Francisco and TorontoEmployment DetailsSeniority level:Mid‑Senior levelEmployment type:Full‑timeJob function:Engineering and Information TechnologyIndustries:Technology, Information and InternetLocation:Toronto, Ontario, CanadaEqual Opportunity EmployerEvenUp 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.#J-18808-Ljbffr

📌 Staff Machine Learning Engineer - Systems - $212,000 - $300,000 A Year (Toronto)
🏢 EvenUp
📍 Toronto