EvenUp
Senior Machine Learning Engineer
$170K–$250K
San Francisco (hybrid) +1 · Hybrid · Senior · Full-time · Posted Jul 8, 2026
- Location
- San Francisco (hybrid)
Toronto (hybrid) - Experience
- 5+ years building and deploying machine-learning systems in production.
About the job
Builds and operates production machine-learning systems for Piai™, turning legal and medical data into tools that improve outcomes for personal-injury clients.
What you'll do
- Own the ML lifecycle, from problem framing and data strategy through training, evaluation, deployment, and monitoring.
- Build scalable data pipelines, reusable ML development and evaluation frameworks, and production systems.
- Apply NLP, information retrieval, and generative AI techniques; improve reliability, scalability, and efficiency, and mentor engineers.
What they ask for
- 5+ years building and deploying machine-learning systems in production.
- Strong software engineering fundamentals, including Python, distributed systems, and API design.
- Experience owning the full ML lifecycle and turning ambiguous problems into scoped, shippable solutions.
- Experience mentoring engineers and influencing technical direction.
Nice to have
- Experience with NLP, LLMs, or generative AI, including embeddings, fine-tuning, or prompt engineering.
- Experience with generative-AI evaluation, vector databases or orchestration frameworks, high-growth startups, or high-stakes domains.
Pay
$170K - $250K (base salary; currency not stated)
Tools
Python, Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch, LangChain, LlamaIndex
AI focus
Develop and productionize machine-learning systems, including NLP, information retrieval, and generative AI; define evaluation strategies such as human-in-the-loop review and automated benchmarks.
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