AI / ML EngineerTrek Health • San Francisco, CA, United States
AI / ML Engineer
Trek Health • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]OCR / Doc AI tools (Unstructured, PyMuPDF / pdfplumber, AWS Textract) and table structure recovery Snowflake Cortex / Vector Search, Snowpark UDFs, Native Apps, Snowpark Container Services Proven prompt / tool orchestration and grounding with citations; low‑hallucination patterns Solid data modeling and evaluation skills (gold sets, offline / online metrics) After applying on , please email to hr@trekhealth.io a short technical summary of your contributions / experience for each of the 3 items listed under the Mandatory Qualifications section. Expect a 90 minute technical panel interview to showcase your skills as listed above. Quick hire Stock Options Comp Range : 125K – 175K Health, Vision, Dental and Life Insurance Contract to hire or full‑time (preferred) Amazing team to work with, learn and grow with the company.
Who we are
Trek Health high energy startup that empowers provider organizations with AI‑driven insights, tools, and strategies to improve payer contract reimbursement, optimize service line performance, and foster sustainable growth. Our Price Transparency Platform combines market data with intelligent contract oversight to enhance payer negotiations. By linking agreements, payer policies, and market benchmarks, we enable leaders to identify opportunities, monitor financial impacts, and refine reimbursement strategies. Backed by $11M in Series A funding, Trek Health is supported by top investors and advisors with expertise from leading companies like Salesforce, Okta, and One Medical.
Who we are looking for
The full‑time AI / ML Engineer will design, develop, and optimize machine learning models and algorithms to support our Contract Intelligence Platform. The role also involves collaborating with cross‑functional teams to implement cutting‑edge AI / ML solutions to drive innovation in healthcare contract intelligence.
Location
Candidates must be in San Francisco Bay Area or willing to relocate after hire.
Mandatory Qualifications
- 5 years in AI / ML engineering, with 2 years shipping LLM / RAG systems to production
- 2 years of unstructured data pipelines using LLMs
- Document AI experience : parsing PDF / DOCX, handling OCR, Chunking.
Highly Preferred
Expedited Interview Process
Additional Info
We are unable to sponsor / transfer employment visas for this position.
No recruiter or 3rd party agencies please.
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