Apply on Employer Site

EvenUp · 4 months ago

Staff Machine Learning Engineer (Systems)

San Francisco, CA

Full-time

Hybrid

Lead/Staff

$215K/yr - $323K/yr

EvenUp is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to achieve better outcomes. The Staff Machine Learning Engineer will develop and deploy models for the claims-intelligence platform, focusing on machine learning, natural-language processing, and generative AI, while collaborating with various teams to enhance the legal system.

Artificial Intelligence (AI)LegalLegal TechMachine LearningSoftware

H1B Sponsor Likely

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

Qualification

Machine LearningNatural Language ProcessingGenerative AIVector DatabasesTransformer ModelsSoftware EngineeringTechnical StrategyMentoringCross-Org Collaboration

Preferred

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)

Benefits

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

Company

EvenUp

EvenUp is the leading AI platform for personal injury law.

Founded in 2019

San Francisco, California, USA

201-500 employees

https://www.litty.ai/

H1B Sponsorship

EvenUp has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (13)

2024 (2)

2023 (1)