[Remote] Director Engineering ML AI
Note: The job is a remote job and is open to candidates in USA. Mercury Insurance is a recognized leader in the insurance industry, and they are seeking a Director of Engineering for AI/ML. This role involves leading the development of advanced AI models and capabilities to enhance customer experience and optimize internal operations through automation.
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
Skills
- 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
- 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 Overview
- Mercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection. It was founded in 1962, and is headquartered in Los Angeles, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.mercuryinsurance.com.
Company H1B Sponsorship
- Mercury Insurance has a track record of offering H1B sponsorships, with 22 in 2025, 23 in 2024, 14 in 2023, 15 in 2022, 8 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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