Top Senior Level Machine Learning Jobs in NYC, NY

As a Senior Machine Learning Engineer, you will design, build, and implement machine learning applications. This role involves collaborating with product and data science teams, constructing data pipelines, and deploying optimized ML models. You will ensure experiences with cloud architectures and machine learning frameworks, while maintaining the production of models and application code.

As a Senior Machine Learning Engineer, you'll design, build, and deploy machine learning applications in an Agile environment, focusing on ML architectural design, infrastructure decisions, and scaling models using cloud technologies. Responsibilities include coding, testing, optimizing data pipelines, and ensuring best practices in model governance while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you'll join an Agile team to design, build, and implement machine learning applications at scale. Responsibilities include model development, optimizing ML models, collaborating with cross-functional teams, and maintaining production models, all while adhering to best practices in ML engineering.

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.

As a Senior Machine Learning Engineer at Canoe Intelligence, you will develop NLP algorithms, train large language models, and work on data preprocessing with cross-functional teams. Your role involves driving innovation in data processing pipelines and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.

The Senior Machine Learning Engineer will build and scale personalization and search platforms for the streaming app Max, collaborating with engineers and researchers to enhance recommendation systems. Responsibilities include architecting machine learning systems, improving platform performance, and contributing to code reviews and technical documentation.

Lead the design, research, modeling, and evaluation of Machine Learning models and systems at CNN. Collaborate with ML Platform engineers and leaders to improve model training and deployment. Mentor engineers, collaborate with data scientists, product teams, and drive ML projects from problem to completion. Support Engineering and Product leaders in strategic planning and innovation. Advocate for customer-centric solutions and experimentation.

The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.

As a Machine Learning Engineer at Snap Inc, you'll create models to enhance user and advertiser value, evaluate technical tradeoffs, conduct code reviews, and develop scalable products while prioritizing quality and collaboration.

The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.