обновлено 1 месяц 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) (AI/ML, medical claims synthesis): Building and deploying LLM-driven features that extract information from complex medical documents and support human-in-the-loop summarization with an accent on hybrid machine learning, RAG, embeddings-based retrieval, and production reliability. Focus on leading end-to-end AI/ML projects, making architectural tradeoffs, evaluating model outputs, and translating advanced research into maintainable customer-facing systems.
Location: New York, NY or remote within the United States
Salary: $200,000–$235,000 base salary per year, plus annual bonus and company equity plan.
Company
develops technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, including medical claims synthesis solutions.
What you will do
- Lead AI/ML projects from ideation and requirements gathering through architecture, development, deployment, and optimization.
- Design, build, and deploy LLM-powered features for extracting information from complex medical documents and supporting human-in-the-loop summarization workflows.
- Develop hybrid solutions combining statistical machine learning, LLMs, RAG, embeddings-based retrieval, vector search, and similarity measures.
- Make architectural and technical decisions balancing scalability, performance, reliability, maintainability, and business impact.
- Evaluate AI outputs with data labelers and subject matter experts, improving model performance and alignment with user outcomes.
- Provide technical leadership while collaborating with Product, Engineering, SMEs, and other stakeholders.
Requirements
- 5–8+ years of experience writing performant Python code using modern best practices.
- At least 1 year of experience building and deploying professional products powered by large language models.
- Experience leading technical projects from concept through production and making architectural 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 in service-oriented or microservice architectures.
- Expertise in prompt engineering, LLM fine-tuning, model evaluation, and communicating technical direction across teams.
Nice to have
- Experience translating state-of-the-art AI/ML research into production code.
- Experience with agentic or autonomous AI systems, multimodal data, or improving training data and evaluation processes.
- Experience mentoring engineers or providing technical leadership across projects or teams.
Culture & Benefits
- Medical, dental, vision, disability, life insurance, AD&D, and 401(k) matching.
- Paid time off and sick leave, plus fully paid parental leave of 16 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Flexible scheduling for new parents returning to work.
- Professional development support of $1,000 per year and tuition reimbursement opportunities.
- Catered lunches, wellness and family benefits, pet-friendly spaces, happy hours, and a monthly technology stipend.
- Visa sponsorship is available for candidates currently in the United States who need to transfer an active visa.
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