Director R&D – AI/ML Research

🕒 August 17

🇺🇸 United States – Remote

💵 $107.3k - $300.6k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

🚘 Automotive

💼 Consulting

📦 Logistics

Automotive • Consulting • Logistics

Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.

📋 Description

• Lead the crossline strategy for AI/ML-enabled research capabilities supporting product and pricing innovation across multiple lines of business. • Build and lead a small team focused on reusable research tooling, workflow modernization, automated model monitoring, and AI-enabled capability development. • Partner with Product R&D leaders to identify opportunities to improve research speed, depth, consistency, and scalability. • Explore and carry out product research projects. • Collaborate with MTS, EDS, and other partners on data pipelines, feature workflows, model monitoring, and AI/ML infrastructure. • Design processes and guardrails for human oversight, model quality, explainability, and responsible use of AI-generated outputs. • Establish automated and observable research workflows covering hypothesis generation, model evaluation, monitoring, and documentation. • Guide adoption and change management across teams. • Translate relevant AI, machine learning, and research methodology developments into practical applications. • Coach and develop talent in a hybrid environment where people, automation, and AI agents work together.

🎯 Requirements

• Minimum bachelor’s degree in a quantitative field such as data science, engineering, math, 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. • Equivalent combination of education/experience accepted. • Strong hands-on fluency in Python and modern ML frameworks. • Demonstrated experience with GenAI/LLM applications. • AI Harness / LLM Evaluation skills or experience. • Track record of building or operationalizing analytical tools, models, or workflows used by others at scale. • Strong business and technical judgment connecting research capability investments to product, pricing, and operational outcomes. • Ability to lead through influence and comfort with ambiguity. • Curiosity and quick learning ability. • Preferred: master’s or Ph.D. degree in a quantitative field. • Preferred: 10+ years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work. • Preferred: 3+ years of experience developing software or applications. • Preferred: 5+ years of experience in analytics in P&C insurance. • Preferred: 8+ years of people leadership or comparable experience leading complex cross-functional programs.

🏖️ Benefits

• Competitive compensation • 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 • Flexibility to work from anywhere in the United States for most positions