Director of Engineering, AI/ML jobs in United States
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Mercury Insurance · 17 hours ago

Director of Engineering, AI/ML

Mercury Insurance is a recognized employer known for its culture and achievements, including a Forbes award. They are seeking a Director of Engineering, AI/ML to lead the development of advanced AI models and capabilities, optimizing operations and enhancing customer experiences through innovative solutions.

Insurance
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H1B Sponsor Likelynote

Responsibilities

Lead and manage the machine learning team to build state-of-the-art AI models, focusing on user experience personalization, recommendations and operation automation
Design and implement ML solutions to personalize customer and agent experience across the insurance lifecycle (quote, bind, service, claim, etc.)
Implements AI solutions to optimize processes and reduce operational costs
Lead GenAI effort for both operation automation and customer experience improvement
Collaborate with leadership, product, and technical teams to align ML strategy with business goals
Maintain cutting-edge knowledge of advancements in AI, include in Machine learning algorithms, Deep Learning, Generative AI, NLP, and LLMs, and apply them to drive innovation within the organization
Provide leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and excellence

Qualification

Machine LearningDeep LearningNLPGenerative AIJavaPythonML frameworksLarge-scale system deploymentApplied researchInsurTech experiencePublic cloud experienceLeadershipCommunicationTeam management

Required

B.S. Data Science, Computer Science, Mathematical or related
8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI
5+ years of experience in application developments
5+ years management experience
10+ years of experience in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI
Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment
Knowledge in large-scale system deployment of AI models
Expertise in building and optimizing POCs, with hands-on experience in training and fine-tuning AI models
Advanced proficiency in Java, Python, ML frameworks and ml libraries
Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences

Preferred

B.S./M.S./PHD Data Science, Computer Science, Mathematical or related
10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI
5+ years experience in building large scale enterprise application and platform
8+ years leadership experience
3+ experience on insurTech
Proven experience in insurTech or related industries is strongly preferred
Experience on public cloud such as aws, sagemaker, MLflow, etc. is preferred

Benefits

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

Company

Mercury Insurance

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Mercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection.

H1B Sponsorship

Mercury Insurance has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (23)
2023 (14)
2022 (15)
2021 (8)
2020 (13)

Funding

Current Stage
Public Company
Total Funding
unknown
1985-11-29IPO

Leadership Team

T
Ted Stalick
SVP & CFO
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V
Victor Joseph
President & Chief Operating Officer
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Company data provided by crunchbase