Top Machine Learning Jobs in NYC, NY

The Senior Associate analyzes complex datasets using SQL and Python to address financial crime challenges, apply machine learning, and mentor junior team members.

As a PhD Intern, you will design, develop, and implement software solutions for automated trading systems, collaborating with quantitative researchers.

The role involves designing and implementing AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and optimizing resource demand across infrastructure environments.

As a Sr. Machine Learning Engineer, you will develop and implement models to enhance customer products, manage ML Ops, and oversee data analysis.

As a Machine Learning Engineer, you will analyze complex datasets, develop models, manage ML Ops, and enhance customer products using machine learning techniques.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a VP Applied AI/ML Scientist, you will develop and implement machine learning models to enhance payment processes, fraud detection, and customer experience, while collaborating with cross-functional teams.

Seeking an experienced Lead Machine Learning Engineer to manage AI/ML projects, enhance ad-serving platforms, and mentor junior team members.

Lead the design, development, and implementation of machine learning applications. Collaborate cross-functionally to deliver ML models that solve business problems and ensure best practices in ML engineering.

The role involves designing and building ML models, managing teams, optimizing ML systems, and implementing cloud-based architectures. Collaboration with product and data science teams is crucial.

The AI/ML Engineer will design, build, and deploy machine learning systems, optimize workloads, and ensure scalability and compliance of the ITMS platform.

The role involves developing LLM-based machine learning models, deploying AI applications, collaborating with stakeholders, mentoring juniors, and ensuring AI solutions' scalability and reliability.

Design, implement, and improve components in a machine learning product, apply Python expertise, collaborate with teams, and support customer implementation for success.

Develop ML models to detect fraud, collaborate with teams to deploy solutions, and improve ML processes while mentoring teammates.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

As a Staff Machine Learning Engineer at Angi, you'll lead model development, deploy MLOps solutions, collaborate across teams, foster innovation, and mentor juniors to enhance machine learning capabilities.

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.