EvenUp ยท 2 weeks ago
Senior Machine Learning Engineer - Systems
San Francisco, CA
Full-time
Hybrid
Senior Level
$181K/yr - $264K/yrEvenUp is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to achieve better outcomes. The Senior Machine Learning Engineer will develop and deploy models for the company's proprietary claims-intelligence platform, focusing on machine learning, natural-language processing, and generative AI.
Artificial Intelligence (AI)LegalLegal TechMachine LearningSoftware
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
Qualification
Required
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
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
201-500 employees
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)
Funding
Current Stage
Growth StageLeadership Team
Rami Karabibar
CEO & Co-founder
Annie Viera
Talent Partner
Recent News
n49p.com
2024-03-05
The Information
2024-01-19
2024-01-19
Company data provided by crunchbase