Director of AI/ML Engineering

LHH is seeking a Director of Engineering, AI/ML, in a full-time capacity.

In this role, you'll lead the development and scaling of advanced AI models and capabilities that automates internal operation as well as provides personalized experience for our customers and agents. This role is essential in building and managing a world-class team of ML Engineers and Data/ML Scientists. Your expertise will guide teams in building reliable systems that deliver impactful solutions. This role will be pivotal in developing and deploying innovative AI solutions at scale, address insurtech challenges.

You will drive the company’s mission forward by optimizing policy/coverage recommendations, providing personalized experience with data, and driving automation to reduce human effort across Underwriting, Claim, Customer Support etc. using AI/ML. You will oversee the entire machine learning lifecycle, from concept to deployment, with strategic focus on delivering impactful, data-driven solutions. The ideal candidate will have deep expertise in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI technologies, with a strong background in insurTech related AI applications being highly desired.

If you are passionate about driving change through AI, this is an exceptional opportunity.

Salary & Benefits:

• $200k to $320k (DOE) + discretional and holiday bonus
• Medical, dental, and vision insurance
• 401(k) plan w/match
• 14 days of PTO + 9 paid holidays to start

Qualifications:

1. Required: B.S. Data Science, Computer Science, Mathematical or related / Preferred: M.S./PHD Data Science, Computer Science, Mathematical or related
2. Required: 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
3. Required: 5+ years of experience in building large-scale enterprise applications and platforms.
4. Required: 5+ years of recent hands-on engineering experience in AI/ML application development.
5. Required: 5+ years management experience (people leadership).
6. Required: 5+ years of with heavy Data Science experience.
7. Required: Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
8. Required: Knowledge in large-scale system deployment of AI models.
9. Required : Expertise in building and optimizing POCs, with hands-on experience in training and fine-tuning AI models.
10. Required: Advanced proficiency in Java, Python, ML frameworks and ML libraries.
11. Required: Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences.
12. Very nice to have: 3+ years of experience on public cloud such as AWS, Sagemaker, MLflow, etc. is preferred.
13. Nice to have: 3+ experience on insurTech (Insurance Technology specific applications)

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 core product 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.

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance