Director of Engineering – AI/ML

🕒 Março 19

🏈 Alabama, Alaska, +44 estados a mais – Remoto

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $133.226 - $346.026 / ano

⏰ Tempo Integral

🔴 Especialista

🖥 Engenheiro de Software

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Mercury Insurance

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1962

💸 Finanças

👥 B2C

Insurance • Finance • B2C

A Mercury Insurance é um provedor líder de produtos de seguro, focando em proteger indivíduos e seus bens com um compromisso com a privacidade e o atendimento ao cliente. A empresa opera através de agentes independentes e oferece uma variedade de serviços de seguros, incluindo seguros de automóveis, residenciais e outros produtos de seguro pessoal. A Mercury Insurance prioriza a segurança das informações pessoais e a conformidade com as leis de privacidade, garantindo que os dados dos clientes sejam manuseados com cuidado e compartilhados apenas quando necessário para o atendimento de contas ou conforme exigido por lei.

Descrição

• 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.

🎯 Requisitos

• Minimum: B.S. Data Science, Computer Science, Mathematical or related • Minimum: 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI. • Minimum: 5+ years of experience in application developments. • Minimum: 5+ years management experience • Preferred: 10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI. • Preferred: 5+ years experience in building large scale enterprise application and platform. • Preferred: 8+ years leadership experience • Preferred: 3+ experience on insurTech • 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.

🏖️ Benefícios

• 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