Director R&D AI/ML Research
概述加入一个令人惊叹的团队,他们一直因我们的成就和文化而被认可,包括我们最近获得的福布斯奖:2026年美国最好的中型雇主之一!职位摘要:水星正在寻找一名领导产品研发 (R&D) 的跨线 AI/ML 研究与能力团队的总监。这个领导者将通过建立可重复使用的能力,现代化研究工作流程以及应用人工智能和机器学习来加速洞察力生成,模型开发,监测和产品创新,帮助塑造业务领域 (私人乘客汽车,家居所有者,商业汽车,商业多危险). 这是一个具有高影响力的领导作用,对于一个结合强大的保险和分析判断与现代人工智能/ML 应用程序的实践理解的人来说。你将在产品研发,星技术解决方案 (MTS),企业数据科学 (EDS) 和其他合作伙伴之间工作,创建可扩展的研究工具,建立最佳做法,帮助团队采用提高速度,严格性和商业影响的新的工作方式。正确的候选人对策略和执行都很兴奋。他们可以设定方向,构建团队,影响跨功能,并在受监管保险环境中转化新兴技术成为实际能力。招聘过程中可能需要面试。该职位的具体薪酬规模如下:118,078美元至330,661美元 (NJ, NY, WA, HI, AK, MD, CT, RI, MA) 118,078到330,661,950美元 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) 118,078.071美元至330.661美元。· 领导支持产品和定价创新的 AI/ML 启用研究能力跨线战略,在多个业务领域。· 建立并领导一个小型,高杆性团队,专注于可重复使用的研究工具,工作流程现代化,自动模型监测和人工智能启用的能力开发。· 与产品研发领导者合作,确定提高研究速度,深度,一致性和扩展性的高价值机会。探索和执行产品研究项目。
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Overview
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!
Position Summary:
Mercury is looking for a Director to lead our Cross-Line AI/ML Research & Capability team within Product Research and Development (R&D). This leader will help shape how research is done across lines of business (Private Passenger Auto, Homeowners, Commercial Auto, Commercial Multi-Peril) by building reusable capabilities, modernizing research workflows, and applying AI and machine learning to accelerate insight generation, model development, monitoring, and product innovation.
This is a high-impact leadership role for someone who combines strong insurance and analytics judgment with hands-on understanding of modern AI/ML applications. You will work across Product R&D, Mercury Technology Solutions (MTS), Enterprise Data Science (EDS), and other partners to create scalable research tools, establish best practices, and help teams adopt new ways of working that improve speed, rigor, and business impact.
The right candidate is excited by both strategy and execution. They can set a direction, build a team, influence across functions, and turn emerging technology into practical capability in a regulated insurance environment.
Geo-Salary Information
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$118,078 to $330,661 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$118,078 to $330,661 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$118,078 to $330,661 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
In CA: Typical hiring range is $201,933 to $280,462
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Responsibilities
Essential Job Functions:
- Lead the crossline strategy for AI/ML-enabled research capabilities that support product and pricing innovation across multiple lines of business.
- Build and lead a small, high-leverage team focused on reusable research tooling, workflow modernization, automated model monitoring, and AI-enabled capability development.
- Partner with Product R&D leaders to identify high-value opportunities to improve research speed, depth, consistency, and scalability. Explore and carry out product research projects.
- Work closely with MTS, EDS, and other partners to shape the technical environment required for modern research, including data pipelines, feature workflows, model monitoring, and AI/ML infrastructure.
- Lead the design of processes and guardrails for human oversight, model quality, explain ability, and responsible use of AI-generated outputs.
- Help establish a more automated and observable research workflow, including opportunities in hypothesis generation, model evaluation, monitoring, and supporting documentation.
- Guide adoption and change management across teams so new capabilities are used effectively and integrated into day-to-day work.
- Stay current on relevant AI, machine learning, and research methodology developments, and translate promising ideas into practical applications for Mercury.
- Coach and develop talent in a hybrid environment where people, automation, and AI agents work together to improve outcomes.
Qualifications
Education:
Minimum:
· Bachelor’s Degree in a quantitative field such as data science, engineering, math, statistics, actuarial science, or a related discipline.
Preferred:
· Master’s or Ph.D. degree in a quantitative field
Experience:
Minimum:
- 8+ years of experience in predictive modeling machine learning, advanced analytics, or related quantitative work.
- 3+ years of experience in analytics in insurance or financial services
- 5+ years people leadership or comparable experience leading complex cross functional programs
- Or equivalent combination of education/experience
Preferred:
- 10+ years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work.
- 3+ years of experience in developing software or application
- 5+ years of experience in analytics in P&C insurance
- 8+ years people leadership or comparable experience leading complex cross functional programs
Knowledge and Skills:
- Highly motivated and driven individual with excellent critical thinking and problem-solving skills.
- Strong business and technical judgment, with the ability to connect research capability investments to product, pricing, and operational outcomes.
- Strong hands-on fluency in Python and modern ML frameworks. Demonstrated experience with GenAI/LLM applications, AI Harness / LLM Evaluation skills/experience
- Track record of building or operationalizing analytical tools, models, or workflows that are used by others at scale.
- Demonstrated ability to lead through influence and comfort with ambiguity
- Demonstrated curiosity and quick learning ability
About the Company
Why choose a career at Mercury?
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here:
Perks and Benefits
We offer many great benefits, including:
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.
Pay Range
USD $107,344.71 - USD $300,603.92 /Yr.Originally posted on Himalayas