Director of Engineering – AI/ML

🕒 il y a 2 mois

🏈 Alabama, Alaska, +44 états de plus – Distant

🏈 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 / an

⏰ Temps Plein

🔴 Expert

🖥 Ingénieur Logiciel

🦅 Parrain de Visa H1B

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Mercury Insurance

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 1962

💸 Finance

👥 B2C

Insurance • Finance • B2C

Mercury Insurance est un fournisseur de premier plan de produits d'assurance, se concentrant sur la protection des individus et de leurs biens avec un engagement envers la confidentialité et le service client. L'entreprise opère par l'intermédiaire d'agents indépendants et propose une gamme de services d'assurance, y compris l'assurance auto, habitation, et autres produits d'assurance personnelle. Mercury Insurance accorde la priorité à la sécurité des informations personnelles et au respect des lois sur la confidentialité, garantissant que les données des clients sont traitées avec soin et ne sont partagées que lorsque cela est nécessaire pour la gestion du compte ou requis par la loi.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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