Director R&D AI/ML Research

Posted 13 Hours Ago
Be an Early Applicant
Hiring Remotely in US
Remote
118K-331K Annually
Senior level
Insurance
The Role
Leads Mercury’s cross-line AI/ML research capability across insurance products. Responsibilities include setting strategy, building a research tooling team, modernizing workflows, developing model monitoring and AI infrastructure, establishing responsible AI guardrails, partnering across technology and data science teams, driving adoption, and coaching talent. The role requires strong quantitative, insurance analytics, Python, machine learning, generative AI, and LLM evaluation expertise, along with substantial people and cross-functional leadership experience.
Summary Generated by Built In
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: https://www.mercuryinsurance.com/about/careers

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 RangeUSD $107,344.71 - USD $300,603.92 /Yr.

Skills Required

  • Bachelor's degree in a quantitative field such as data science, engineering, mathematics, statistics, actuarial science, or a related discipline
  • 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 of people leadership or comparable experience leading complex cross-functional programs
  • Master's or Ph.D. degree in a quantitative field
  • 10+ years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work
  • 3+ years of experience developing software or applications
  • 5+ years of experience in analytics in P&C insurance
  • 8+ years of people leadership or comparable experience leading complex cross-functional programs
  • Strong hands-on fluency in Python and modern machine learning frameworks
  • Demonstrated experience with generative AI and large language model applications
  • AI Harness and LLM evaluation skills or experience
  • Experience building or operationalizing analytical tools, models, or workflows used at scale
  • Strong business and technical judgment, critical thinking, and problem-solving skills
  • Ability to lead through influence and work comfortably with ambiguity

Mercury Insurance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercury Insurance and has not been reviewed or approved by Mercury Insurance.

  • Healthcare Strength Core medical coverage spans multiple plan types alongside dental and vision, with employer HSA funding, mental‑health access, and wellness incentives. These offerings indicate a well‑rounded health and wellbeing package.
  • Retirement Support A 401(k) with company match and automatic enrollment indicates structured retirement support. A defined vesting approach further underscores consistent long‑term savings assistance.
  • Leave & Time Off Breadth Time‑off offerings cover vacation, sick time, paid holidays, and standard leaves such as bereavement, military, and family medical. The menu provides baseline coverage across key leave categories, with accrual improving over tenure.

Mercury Insurance Insights

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The Company
HQ: Los Angeles, CA
3,165 Employees
Year Founded: 1962

What We Do

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 other 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 are an award-winning company, and we owe that to our amazing team! 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. Mercury was founded in 1961 by George Joseph, Mercury’s Founder and Chairman. Back in the 50s, everyone paid the same rate, regardless of their driving record. Joseph decided he could create a new system by developing an insurance company that used different factors to create fair and equitable rates for a variety of drivers. “We called our company Mercury, because I wanted us to be fast and nimble, just like the Roman God of business and merchants,” says Joseph. “He was also responsible for delivering good news to people on Earth, which is exactly what we do for Mercury customers every day.” We, Mercury Insurance (NYSE-MCY), are a leading independent broker and agency writer of automobile insurance in California and one of the fastest growing automobile insurers in the nation. We were ranked as the fourth largest private passenger automobile insurer in California, with over $4.5 billion in total assets, 4,500 team members, and 8,000 independent agents. We started by providing comprehensive coverage options for auto and expanded our offerings into home, condo, renters, and business insurance, as well as mechanical protection. We operate through a network of local, independent agents in Arizona, California, Florida, Georgia, Illinois, Nevada, New Jersey, New York, Oklahoma, Texas and Virginia.

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