Staff Machine Learning Engineer - Systems

Staff Machine Learning Engineer - Systems EvenUp 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/yr

Core Responsibilities

Lead 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 Skills

Experience 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).

Strong 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 Candidates EvenUp 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 domains

@evenuplaw.com ,

@evenup.ai ,

@ext-evenuplaw.com ,

no-reply@ashbyhq.com

or

no‑reply@canditech.io . If you receive communication from someone you believe is impersonating EvenUp, please report it to us at

talent-ops-team@evenuplaw.com .

Benefits & Perks

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 U.S. observed holidays, and Canadian statutory holidays by province

A home office stipend

401(k) for U.S.-based employees and RRSP for Canada-based employees

Paid parental leave

A local in‑person meet‑up program

Hubs in San Francisco and Toronto

Employment Details Seniority level:

Mid‑Senior level

Employment type:

Full‑time

Job function:

Engineering and Information Technology

Industries:

Technology, Information and Internet

Location:

Toronto, Ontario, Canada

Equal Opportunity Employer 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.

#J-18808-Ljbffr