Top Senior Machine Learning Jobs in NYC, NY

The Senior Associate analyzes complex datasets using SQL and Python to address financial crime challenges, apply machine learning, and mentor junior team members.

The role involves designing and implementing AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and optimizing resource demand across infrastructure environments.

As a Sr. Machine Learning Engineer, you will develop and implement models to enhance customer products, manage ML Ops, and oversee data analysis.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

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.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

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 VP Applied AI/ML Scientist, you will develop and implement machine learning models to enhance payment processes, fraud detection, and customer experience, while collaborating with cross-functional teams.

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.

The role involves designing and building ML models, managing teams, optimizing ML systems, and implementing cloud-based architectures. Collaboration with product and data science teams is crucial.

The AI/ML Engineer will design, build, and deploy machine learning systems, optimize workloads, and ensure scalability and compliance of the ITMS platform.

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

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

As a Staff Machine Learning Engineer at Angi, you'll lead model development, deploy MLOps solutions, collaborate across teams, foster innovation, and mentor juniors to enhance machine learning capabilities.

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.

As a Senior Machine Learning Engineer, you will develop and deploy advanced ML models, collaborate with teams, and enhance AI integration for product features.

As a Machine Learning Scientist, you will apply advanced machine learning techniques such as time series analysis and reinforcement learning, collaborating with cross-functional teams to develop and deploy impactful solutions.

The Applied AI/ML Engineer will design, develop, and deploy AI and machine learning solutions while collaborating with cross-functional teams to optimize processes and enhance operational efficiency.

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.