5 дней назад
Senior Machine Learning Engineer (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Building and scaling agentic AI contracting systems with an accent on information retrieval, LLM orchestration, and search quality. Focus on designing eval-driven development workflows and optimizing production pipelines for complex enterprise contract data.
Location: Must be based in or able to commute to San Francisco, CA (Hybrid: Tuesdays and Thursdays in-office)
Salary: $180,000 – $220,000
Company
is a leader in contract lifecycle management, leveraging AI to transform how the world's largest organizations manage over 2 billion contracts.
What you will do
- Evolve agentic search architectures that combine LLMs and retrieval systems to answer complex queries.
- Design and execute benchmarks and experiments to measure and improve search quality.
- Build and maintain NLP/LLM pipelines to process raw contract documents for retrieval.
- Collaborate with ML and infrastructure engineers to operate flagship AI capabilities.
- Contribute to the company's overall search quality standards.
Requirements
- 4+ years of experience building production systems in search, information retrieval, or recommendation systems.
- Expertise in learned/hybrid retrieval, query understanding/NLU pipelines, or production LLM agent systems.
- Experience with search frameworks like Elasticsearch, Solr, Vespa, or OpenSearch.
- Fluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google).
- Proven ability to build eval-driven workflows including offline benchmarks and regression detection.
- Must have authorization to work in the US.
Culture & Benefits
- 100% health coverage for employees (medical, dental, vision) and 75% for dependents.
- 401(k) plan with employer match.
- Flexible paid time off policy.
- Family forming support through Maven and mental health support via Modern Health.
- Monthly stipends for wellbeing and hybrid work.
- Regular team events and a focus on career growth and development.
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