Top Machine Learning Engineer Jobs in NYC, NY

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.

As a Senior Software Engineer focused on Machine Learning at Celonis, you will design and develop AI/ML features and solutions, implement robust data infrastructures, and ensure data accuracy for enterprise operational data. Collaborating with various teams, you'll address customer needs and enhance product capabilities.

As a Machine Learning & Computer Vision Engineer at Dandy, you will build and enhance computer vision models for 3D dental scans and automate processes in manufacturing. Your role includes researching state-of-the-art methods, collaborating with product teams, and implementing best practices for MLOps pipelines.

As a Software Engineer specializing in Machine Learning, you will design and develop high-quality AI/ML models and customer solutions, focusing on infrastructure that supports scalable data collection and processing. Engaging with various stakeholders, you'll tackle business needs by creating intelligent approaches and robust data servicing mechanisms.

As a Lead Machine Learning Engineer, you'll design, develop, and implement machine learning applications at scale, collaborating with Agile teams. This role involves delivering ML models, integrating ML infrastructure, automating deployment, and ensuring model performance in production, while adhering to best practices in Responsible AI.

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 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 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.