Top Machine Learning Jobs in New York City, NY

Lead and grow a team to build state of the art event-driven real-time ML ecosystem, provide technical direction for the ML application and pipeline management team, partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment, mentor and facilitate individual careers, maintain a culture of innovation, quality, and transparency, work in an Agile environment.

As a Senior Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models and components to solve real-world business problems. You will work on ML architectural design, model code development and review, and ensuring high availability and performance of ML applications. Additionally, you will collaborate with cross-functional teams, retrain and monitor models in production, and leverage cloud-based architectures for optimized ML models.

As a Lead Machine Learning Engineer at Personio, you will provide technical leadership, design and deploy scalable ML algorithms, mentor junior engineers, and shape the Machine Learning landscape within the organization. This hybrid role is based in New York City.

Lead Machine Learning Engineer role at Grammarly, responsible for building scalable machine learning solutions for marketing problems and driving business impact. Collaborates with Growth EPD, Marketing teams, and other cross-functional teams to make data-driven decisions and promote best practices.

Senior Manager role at ServiceNow, leading ML projects from planning to delivery. Strategic planning, team management, and cross-functional collaboration are key responsibilities. Must have 8+ years of experience in Software Engineering with management experience. Proficiency in Java, Python, GoLang, and JavaScript/TypeScript is required.

Grubhub is looking for a Data Scientist or Machine Learning Engineer to work in the Search and Discovery team. Responsibilities include creating metrics, proposing algorithmic approaches, designing A/B tests, mentoring junior data scientists, and driving technology best practices. The focus is on personalized recommendations and classification using various machine learning techniques like deep neural networks and transfer learning.

Looking for a passionate Machine Learning Engineer to build and scale recommendation systems for global streaming apps. Collaborate with ML/Ops engineers, data scientists, and product teams to drive ML projects. Must have industry experience and strong programming skills in Python/Java/Go.