1 день назад
Senior Applied Research Scientist (AI/ML)
115 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied Research Scientist (AI/ML): Designing and delivering production AI/ML and GenAI solutions for complex cross-functional problems with an accent on technical leadership, experimentation, causal inference, and measurable business outcomes. Focus on architecting scalable solutions, evaluating LLM quality, instrumenting business KPIs, and mentoring scientists and engineers.
Location: Bethesda, Maryland; candidates must be open to working in Chevy Chase, Maryland, Palo Alto, California, or New York City, New York.
Annual salary: $115,000–$230,000.
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Lead the design and delivery of machine learning and GenAI solutions for complex, ambiguous, cross-functional problems.
- Define success metrics, validation plans, and pathways for bringing models into production and driving adoption.
- Partner with product, engineering, and domain experts to create technical roadmaps and align milestones with business outcomes.
- Design online experiments and quasi-experimental analyses, while instrumenting and monitoring business KPIs.
- Set technical direction, make architecture and modeling decisions, and communicate trade-offs and results to technical and non-technical stakeholders.
- Mentor junior scientists and engineers and promote rigorous, reproducible development practices.
Requirements
- Master’s or PhD in computer science, machine learning, statistics, mathematics, or a related quantitative field, or equivalent practical experience.
- At least 3 years of experience developing, deploying, and operating AI/ML models in production.
- Strong proficiency in Python, data processing, SQL, PyTorch, and Scikit-learn.
- Experience designing online experiments, conducting causal analyses, and defining, instrumenting, and monitoring business KPIs.
- Experience leading end-to-end AI/ML initiatives and collaborating with product and engineering teams.
- Must be open to the listed United States work locations.
Nice to have
- Experience designing and optimizing prompts and templates for LLMs.
- Experience with GenAI quality management, including evaluators, red-teaming, guardrails, and human-in-the-loop systems.
- Familiarity with insurance operations and model governance in regulated environments.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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