Top Senior Machine Learning Engineer Jobs in NYC, NY

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

Design, deploy, and maintain production ML systems to detect and prevent fraud and abuse across Cash App and Square. Partner cross-functionally to build scalable, real-time risk solutions, improve ML lifecycle tooling, and investigate emerging risk patterns to inform product safeguards and policy.

Design, build, and productionize ML systems to detect and prevent fraud and abuse across Cash App and Square. Lead end-to-end model development, deployment, monitoring, and iteration; collaborate with cross-functional partners; improve ML development tooling and apply state-of-the-art techniques to reduce financial loss and protect users.

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

Lead design, build, and scale of production ML systems (including supervised, unsupervised, and LLM-based models). Translate prototypes into cloud-native deployments, optimize model performance, implement MLOps practices, and collaborate cross-functionally to integrate AI features while promoting model governance, explainability, and responsible AI.

The role involves deploying and scaling machine learning models, optimizing systems for ML applications, and collaborating with various teams to support data science functionalities at Squarespace.

The Senior Machine Learning Engineer will develop foundational models for recommendations, mentor engineers, and collaborate on improving user experiences with machine learning.

The Senior Machine Learning Engineer will develop and optimize algorithms for Zocdoc's Sponsored Results product, improving healthcare experiences. Responsibilities include designing scalable ML infrastructure, mentoring peers, and collaborating across teams.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

As a Senior Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure high availability. You'll utilize cloud technologies and optimize data pipelines while adhering to best practices in machine learning engineering.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Develop and optimize ML models for ad-serving and search solutions, manage AI/ML projects, and implement best practices in MLOps.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Lead design and implementation of production GenAI/ML services and agentic systems for post-trade workflows. Build RAG/vector retrieval, integrate ML components, enforce governance/auditability, establish evaluation and monitoring, optimize performance/cost, and mentor engineering teams while collaborating with product and operations.

The Senior AI Ops Engineer will design and deploy scalable AI systems for healthcare automation, focusing on code quality, AI safety, and collaboration across teams.

Develop machine learning models and infrastructure for assessing autonomous vehicle behavior. Collaborate across teams to optimize production systems and model performance.

Design, implement, and scale AI/ML systems and data pipelines for healthcare applications. Own model inference, deployment, monitoring, and reliability; collaborate with cross-functional teams to deliver production ML solutions using cloud and distributed computing.

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

The role involves developing a virtual assistant platform, collaborating with cross-functional teams, leading a team of engineers, and managing the AI/ML platform while ensuring optimal performance and reliability.

As a Senior Machine Learning Engineer, you will design and implement ML systems for conversational AI and intelligent automation, collaborating with cross-functional teams and mentoring colleagues.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

Design and scale ML platform infrastructure for large 3D datasets: build training pipelines, deploy generative models, optimize ML lifecycle, ensure cloud-native reliability and observability, and collaborate across engineering.

Design and implement ML models and systems for the Highlight AI desktop assistant, collaborating with cross-functional teams to integrate AI features into the product.