Senior Machine Learning Engineer – Systems

San Francisco, California
EvenUp
Senior 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. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact.

Base pay range: $176,000 – $265,000 per year.

Core Responsibilities

• Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines.
• Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows.
• Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models.
• Collaborate with data scientists and product teams to translate business problems into ML system designs.
• Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering.
• Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows.
• Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines.
• Work with machine learning platform engineers to integrate ML frameworks into production environments.
• Document system architectures and create internal best practices for building ML/AI frameworks.

Optional Skills

• Experience with vector databases (e.g., 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. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . 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 talent ops . Examples of fraudulent domains include “careers ” and “careers “.

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 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

Equal Opportunity Statement

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Details

• Seniority level: Mid Senior level
• Employment type: Full time
• Job function: Engineering and Information Technology
• Industries: Technology, Information and Internet