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:

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

Required Qualifications:

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

Preferred Qualifications:

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

Why Join the Team?

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