3 дня назад
Senior Staff Applied Research Scientist (AI/ML)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Applied Research Scientist (AI/ML): Architecting and delivering enterprise-scale AI/ML systems across insurance operations with an accent on technical strategy, productionization, experimentation, and responsible AI. Focus on designing scalable model platforms, measuring business impact through causal analysis, translating advanced research into production solutions, and mentoring research scientists and engineers.
Location: Bethesda, Maryland; Palo Alto, California; New York City, New York; or Seattle, Washington
Annual salary: $150,000–$300,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Define technical strategy and long-term roadmaps for cross-functional, enterprise-scale AI/ML initiatives.
- Identify high-impact insurance use cases and translate business needs into ML problem statements and investment cases.
- Architect end-to-end AI/ML systems covering data acquisition, feature engineering, model development, deployment, monitoring, and governance.
- Lead prototyping, A/B testing, causal inference, productionization, and continuous improvement of AI/ML models.
- Establish KPI frameworks and experimentation strategies to measure portfolio-level business impact.
- Mentor research scientists and engineers, collaborate with product, engineering, legal, security, and operations teams, and present technical strategy to senior leadership.
Requirements
- Bachelor’s degree in computer science, machine learning, statistics, mathematics, or a related quantitative field; a PhD is preferred.
- At least 8 years of professional experience delivering applied AI/ML solutions in production and leading enterprise-scale initiatives.
- Deep expertise in statistical learning, machine learning, deep learning, large language models, and research methods.
- Experience with KPI frameworks, experimentation, causal analysis, model governance, responsible AI, and regulated environments.
- Extensive hands-on experience with Python, SQL, PyTorch, TensorFlow, and scikit-learn.
- Must be open to working in Bethesda, Maryland; Palo Alto, California; New York City, New York; or Seattle, Washington.
Nice to have
- Experience with numerical optimization, NLP, reinforcement learning, prompt design, retrieval-augmented generation, red-teaming, and human-in-the-loop workflows.
- Experience building domain-specific GenAI/LLM benchmarks and evaluation suites.
- Experience with insurance operations, patents, publications, or impactful open-source contributions.
Culture & Benefits
- Mentorship, personalized development programs, and certification assistance.
- Inclusive and collaborative culture focused on innovation, integrity, and shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a qualified new applicant for employment authorization.
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