Director of Engineering, AI/ML

Position Summary

We are seeking a Director of Engineering, AI/ML who will lead the development and scaling of advanced AI models and capabilities that automate internal operations and provide personalized experiences for our customers and agents. This role involves guiding a world-class team of ML Engineers and Data/ML Scientists to build reliable systems that deliver impactful solutions.

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.).
• Implement 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, including 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.

Qualifications

• Education: Minimum B.S. in Data Science, Computer Science, Mathematical or related fields. Preferred B.S./M.S./PHD in Data Science, Computer Science, Mathematical or related fields.
• Experience: Minimum 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI. 5+ years of experience in application development. 5+ years of management experience. Preferred 10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI. 5+ years of experience in building large scale enterprise applications and platforms. 8+ years of leadership experience. 3+ years of experience on insurTech.
• Skills & Abilities: Minimum 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 Proven experience in insurTech or related industries. Experience on public cloud such as AWS, SageMaker, MLflow, etc.

About The Company

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 encourages growth, makes time for fun, and works together to make great things happen. We embrace the strengths and values of each team member and believe in diversity, inclusion, and serving customers from all walks of life. 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.

Perks And 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

Pay Range

USD $133,226.00 - USD $346,026.00 /Yr.