Director of Engineering – AI/ML

🕒 vor 3 Monaten

🏈 Alabama, Alaska, +44 weitere Bundesländer – Remote

🏈 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 / Jahr

⏰ Vollzeit

🔴 Experte

🖥 Softwareentwickler

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Mercury Insurance

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 1962

💸 Finanzen

👥 B2C

Insurance • Finance • B2C

Mercury Insurance ist ein führender Anbieter von Versicherungsprodukten, der sich auf den Schutz von Einzelpersonen und deren Vermögenswerten mit einem Fokus auf Datenschutz und Kundenservice spezialisiert hat. Das Unternehmen arbeitet mit unabhängigen Vertretern und bietet eine Vielzahl von Versicherungsdienstleistungen an, darunter Auto-, Haus- und andere Personenversicherungen. Mercury Insurance legt großen Wert auf die Sicherheit von persönlichen Informationen und die Einhaltung von Datenschutzgesetzen, wodurch sichergestellt wird, dass Kundendaten mit Sorgfalt behandelt und nur dann geteilt werden, wenn es für den Kontoservice erforderlich oder gesetzlich vorgeschrieben ist.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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