Job Description

Staff Machine Learning Engineer (L6)
Hybrid (2-3 days per week in-office in NYC)
Full-Time
Visa Sponsorship not available at this time.

About the Company :
Our client is a rapidly growing Series C Insurtech company based in New York City, focused on leveraging cutting-edge AI technology to transform the insurance industry. As a key player in the Insurtech space, they are building innovative AI-driven products that are reshaping the way insurance companies operate. As the company continues to expand, they are looking for a talented and experienced Staff Machine Learning Engineer to join their team and contribute to the development of their AI product suite.

Role Overview :
The Staff Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models that power the company's AI products. This individual will work closely with cross-functional teams, including product and engineering, to build end-to-end ML solutions, from model development to production deployment. The ideal candidate will have a strong background in machine learning, deep learning, and real-world data applications, along with a proven ability to take ownership of projects from inception through to deployment.

Key Responsibilities :

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  Develop and deploy machine learning models for AI-driven insurance products.
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  Build and optimize scalable machine learning systems, focusing on both research and development (R&D) and production-level performance.
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  Collaborate with cross-functional teams to define and implement ML solutions that meet business needs.
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  Work with Python , PyTorch , and other machine learning tools to build and optimize deep learning models and ML systems.
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  Ensure seamless deployment and serving of models, optimizing them for real-time performance and scalability.
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  Take full ownership of machine learning product development, from initial concept through to deployment, ensuring high-quality results.
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  Contribute to technical discussions, offering insights and recommendations based on expertise in machine learning.
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  Mentor and guide junior engineers, fostering a collaborative and knowledge-sharing environment within the team.

Required Qualifications :

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  At least 5 years of experience in machine learning and deep learning, with strong expertise in model development and deployment.
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  Hands-on experience with Python , PyTorch , and machine learning frameworks.
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  Proven ability to develop deep learning models, deploy them into production, and optimize their performance.
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  Extensive knowledge of machine learning systems and architecture, with a focus on optimizing for production environments.
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  Experience building end-to-end machine learning products, from R&D to real-world deployment.
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  A solid understanding of the differences between academic and real-world data, with an emphasis on industry applications.
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  Strong problem-solving skills and the ability to work independently as well as part of a team.
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  Excellent communication skills and the ability to collaborate effectively with product and engineering teams.

Preferred Qualifications :

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  A PhD in a related field (e.g., Computer Science, Machine Learning, Data Science) is highly preferred.
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  Previous experience in the insurtech or insurance industries is a plus.
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  Experience with large-scale data processing and distributed systems.

Why Join the Team?

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  Be part of a fast-growing Series C Insurtech company on the cutting edge of AI in insurance.
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  Enjoy a hybrid role with a balance of in-office collaboration and remote work flexibility.
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  Opportunity to work with a talented team in a dynamic and fast-paced environment.
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  Play a pivotal role in shaping the future of the insurance industry through innovative AI solutions.

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