1 день назад
Senior AI / ML Engineer (LLMs)
200 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI / ML Engineer (LLMs) (Medical Claims AI): Building and deploying AI-powered features for a medical claims synthesis product with an accent on LLMs, statistical machine learning, retrieval-augmented generation, and embeddings-based retrieval. Focus on extracting information from complex medical documents, developing human-in-the-loop summarization workflows, and translating AI research into reliable production systems.
Location: New York, NY or remote within the United States
Base salary: $200,000–$235,000 annually, plus annual bonus and company equity plan.
Company
develops technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, including an AI-powered medical synthesis product.
What you will do
- Lead AI/ML projects from ideation and requirements gathering through architecture, development, deployment, and optimization.
- Design, build, and deploy AI-powered and LLM-driven features for medical claims synthesis.
- Extract key information from complex medical documents and develop human-in-the-loop summarization workflows.
- Build hybrid solutions combining statistical machine learning, LLMs, RAG, embeddings-based retrieval, vector search, and similarity measures.
- Make architectural decisions and optimize production systems for scalability, performance, reliability, and maintainability.
- Collaborate with data labelers, SMEs, Product, and Engineering to evaluate model outputs and improve product performance.
Requirements
- 5–8+ years of experience writing performant Python code using modern best practices.
- At least 1 year of experience building and deploying products powered by LLMs in a professional environment.
- Experience leading technical projects from concept through production deployment and making architecture decisions for AI/ML systems.
- Hands-on experience with statistical machine learning, LLMs, RAG, embeddings-based models, vector search, and similarity measures.
- Experience building and integrating API services within service-oriented or microservice architectures.
- Expertise in evaluating model outputs, prompt engineering, and fine-tuning LLMs for domain-specific applications, with strong cross-functional communication skills.
Nice to have
- Experience translating state-of-the-art AI/ML research into production code.
- Experience improving training data and evaluation processes with data labelers and SMEs.
- Experience building agentic or autonomous AI systems in production.
- Experience with multimodal data such as images or audio.
- Experience mentoring engineers or providing technical leadership.
Culture & Benefits
- Medical, dental, vision, disability, life insurance, AD&D, 401(k) matching, and additional family, wellness, and pet benefits.
- Paid time off and sick leave, plus 100% paid parental leave: 16 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Flexible scheduling for new parents returning to work.
- Catered lunches, happy hours, pet-friendly spaces, and a monthly technology stipend.
- $1,000 per year for professional development and tuition reimbursement opportunities.
- Visa sponsorship is available for candidates currently in the U.S. who need to transfer an active visa.
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