Top Hybrid Machine Learning Jobs in New York City, NY
Lead and optimize LLM ML Ops Engineering for AI products, collaborate with cross-functional teams, build scalable products, and ensure high ROI. Drive innovation while maintaining ethical and sustainable practices.
Lead the optimization and operation of Large Language Models (LLM) aided AI products, collaborate with cross-functional teams to develop scalable LLM-based products and reusable back-end APIs, ensure APIs are scalable and performance-efficient, and foster a culture of collaboration and efficiency.
As a Machine Learning Scientist specializing in NLP at JPMorgan Chase, you will research and apply advanced machine learning methods to tackle real-world challenges. Collaborate with cross-functional teams to deploy solutions and drive firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3+ years of relevant experience, expertise in NLP, deep learning, and machine learning toolkits, as well as strong communication skills.
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution. Collaborate with cross-functional teams to meet company objectives and stay up-to-date with the latest technology in machine learning.
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.
Featured Jobs
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.
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.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure. You will work on data analysis, building scalable models, deploying them to production, and collaborating with different engineering teams to improve the ML platform. This role offers the opportunity to make a significant impact on how businesses interact with customers.
The Machine Learning Operations Engineer at Squarespace will collaborate with Data Scientists and Engineers to deploy, monitor, and optimize ML models, develop automated pipelines, and improve CI/CD practices. This hybrid role requires strong Python and SQL skills, experience with cloud platforms, and working knowledge of Google Cloud Platform and Vertex AI.
Seeking an experienced Machine Learning Infrastructure Engineer to develop, deploy, and manage scalable machine learning solutions within our tech stack. Responsibilities include designing tools and pipelines, orchestrating containerized ML applications, collaborating with data scientists, and ensuring the reliability and performance of ML models.
Develop advanced algorithms and execute statistical techniques on large data sets. Evaluate emerging datasets and technologies, contribute to thought leadership, and have strong analytical and quantitative skills.
Join Alloy as a Senior Machine Learning Engineer on the Predict team to build machine learning systems for fraud detection and risk management. Architect scalable systems, deploy ML models, collaborate with cross-functional teams, and stay updated on industry developments. Hybrid work environment with onsite presence twice a week. Must have at least 5 years of experience in software/data engineering and 2+ years in leveraging machine learning for external-facing products.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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