Top Machine Learning Engineer Jobs in NYC, NY

The role involves developing ML models to enhance security measures against fraud and scams, collaborating across teams, and deploying sophisticated AI solutions on the self-service ML platform.

The role involves building machine learning models to detect and reduce fraud in Block's Cash App and Square ecosystems. Responsibilities include collaboration with cross-functional teams, developing ML-driven solutions, and improving the ML lifecycle efficiency, while also mentoring teammates.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

The role involves designing and implementing machine learning applications, managing teams, ensuring performance, and optimizing ML systems using cloud technologies and best practices.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

Responsible for designing, building, and maintaining machine learning models in production, collaborating with cross-functional teams and ensuring best practices in ML engineering.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

Seeking an experienced Lead Machine Learning Engineer to manage AI/ML projects, enhance ad-serving platforms, and mentor junior team members.

Lead the design, development, and implementation of machine learning applications. Collaborate cross-functionally to deliver ML models that solve business problems and ensure best practices in ML engineering.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The role involves improving Python development workflows, leading projects across teams, mentoring engineers, and enhancing developer productivity using various tools and systems.

The role involves enhancing developer tools for GM's AV engineers, addressing pain points, and mentoring team members to improve productivity and maintain quality code efficiency.

As a Machine Learning Engineer, you'll develop AI systems, focusing on autonomous agents, ML pipelines, and production-grade solutions while collaborating with cross-functional teams.

Design, implement, and improve components in a machine learning product, apply Python expertise, collaborate with teams, and support customer implementation for success.

The AI/ML Engineer will develop AI/ML solutions, drive business impact, and collaborate across teams to enhance profitability through advanced analytics.

The Sr. Staff ML Engineer leads development of AI/ML systems for GEICO's virtual assistant platform, collaborating with cross-functional teams to ensure scalability and reliability, while mentoring junior staff and improving engineering practices.

The role involves building awareness of technologies, mentoring talent, promoting a culture of engineering excellence, and collaborating on critical business issues.

The role involves developing ML systems for customer use cases on the GenAI platform, combining classical and advanced techniques, while collaborating with cross-functional teams.