Top Machine Learning Engineer Jobs in NYC, NY

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

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

As a Distinguished Machine Learning Engineer, you'll lead teams in developing and implementing scalable ML applications, mentor engineers, and drive innovation in the financial sector.

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

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 deploying machine learning systems for a search platform, focusing on ranking and retrieval while collaborating with cross-functional teams.

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.

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.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The role involves designing and optimizing ML infrastructure, developing high-performance systems for AI model serving, and collaborating with ML engineers.

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.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

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

Lead definition and implementation of the companys ML strategy and infrastructure. Build end-to-end production ML systems (data pipelines, training, evaluation, serving), own data strategy and feedback loops, integrate ML with product/backend, write production-quality code, and recruit/mentor the ML team as it scales.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Lead the design, implementation, and scaling of ML infrastructure and production AI systems. Optimize workflows, collaborate with teams, and mentor engineers.

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.

We seek a Machine Learning Engineer to enhance our ML platform, focusing on modeling techniques, research workflows, and production infrastructure.