Top Remote Machine Learning Engineer Jobs in New York City, NY

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

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.

As a Machine Learning Engineer, you will leverage LLMs to improve language understanding, design ML models, and collaborate on innovative features.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

Lead a team to enhance ML-driven trading strategies, conduct market research, build production-quality code, and optimize strategy implementation in a quantitative trading environment.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

The ML Researcher / Modeling Quant will design, train, and optimize ML models for trading strategies, ensuring efficient production and integration with trading operations. The role emphasizes teamwork and rapid prototyping under real trading constraints.

Drive business growth by building and optimizing recommendation systems that personalize user experiences for millions, managing modeling, pipelines, and experimentation.