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

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

The Machine Learning Engineer role at Patreon involves developing machine learning models, analyzing data, collaborating across teams, and deploying solutions to enhance creator support.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

The Lead Machine Learning Engineer will design and develop ML evaluation systems, translate research to production, and mentor engineers. They must engage with various teams and stay updated on ML advancements.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

The Senior ML Engineer will develop LLM-based applications, predictive models for patient outcomes, and evaluation frameworks to optimize AI in healthcare.

The ML/AI Engineer will define machine learning direction, develop automated pipelines, integrate models, and collaborate with product teams to solve user problems.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.