Top Machine Learning Engineer Jobs in NYC, NY

As a Senior ML Engineer, you will lead the creation, testing, and deployment of ML models to enhance data quality and match results. You will work with a hybrid-remote team to build robust ML workflows and contribute to a decision-maker targeting platform focused on privacy and scalability.

As a Senior Machine Learning Engineer at Capital One, you will design, develop, and implement machine learning models and systems, collaborating with cross-functional teams. You will ensure the performance and reliability of these models, construct data pipelines, and apply cloud technologies. Your role involves continuous improvement and applying best practices in ML engineering to solve real-world business problems.

As a Senior ML Ops Engineer, you will deploy and manage machine learning models, implement CI/CD pipelines for ML workflows, monitor model performance, optimize workflows for larger datasets, manage model versioning, and ensure troubleshooting in production environments.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.

The Lead Machine Learning Engineer will lead projects involving machine learning solutions, code implementation, and deployment oversight, while mentoring team members and ensuring best practices are followed. Responsibilities include project management, effective stakeholder communication, and using machine learning techniques to enhance user experiences across Disney's streaming services.

The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, preprocess data, resolve entities in unstructured text, collaborate with various teams, and contribute to research initiatives within a fast-paced startup environment.

As a Senior Machine Learning Engineer, you will deploy AI and ML solutions, consulting with stakeholders to define project requirements, analyze data, and manage the execution of projects. You will also explore emerging technologies and improve business decisions through data-driven insights.

The Senior Machine Learning Engineer will develop and optimize ML models for an ad serving platform, focusing on yield optimization, CTR prediction, and advertiser bidding strategies. They will implement ML pipelines, establish frameworks for A/B testing, and mentor junior engineers while collaborating with cross-functional teams to align ML initiatives with business goals.

The Lead Machine Learning Engineer will drive the development of advanced ML models optimizing ad serving for yield and performance. This role involves collaborating with multiple teams to create impactful ML projects, maintaining ML pipelines, and mentoring junior engineers.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will enhance a 3D dental platform, building and researching computer vision models, developing evaluation methods, and implementing MLOps best practices while collaborating with product teams to deliver value.

As a Senior Machine Learning Engineer at Rokt, you will design and produce machine learning models for business challenges like user targeting and content generation. You'll collaborate with engineering and product teams, work on projects involving deep learning and generative AI, maintain code quality, and mentor teammates.

As a Senior Software Engineer focusing on Machine Learning Operations, you will lead the design and implementation of MLOps pipelines, manage monorepos, and enhance system observability. Collaborate with data scientists and other teams to develop and deploy robust machine learning models while mentoring peers and promoting best practices in coding.

As a Sr. Machine Learning Engineer, you will lead the analysis of complex datasets and the development of machine learning models to enhance products. Responsibilities include overseeing ML Ops, ensuring efficient code deployment, and communicating insights to stakeholders.

The MLOps Engineer will design and implement automated deployment pipelines for machine learning and computer vision models, manage the entire model lifecycle, optimize cloud infrastructure, and collaborate with cross-functional teams to enhance model performance, focusing on sports applications.

As a Machine Learning Infrastructure Engineer at Peloton, you will support ML development by creating scalable infrastructure solutions, collaborating with ML teams, and developing tools for ML model management, deployment, and experimentation.

The Senior Software Engineer will lead the design and implementation of scalable MLOps pipelines, manage monorepos, enhance observability, and collaborate closely with data scientists. Responsibilities include developing deployment strategies, improving data science platforms, and ensuring efficient data extraction for model training.

As a Staff Software Engineer - MLOps, you will lead the design and development of scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, improve data science platforms, and ensure high-quality coding practices. You will collaborate with data scientists and mentor team members, focusing on system health and efficient deployment of models.