Top Senior Level Machine Learning Jobs in NYC, NY

The Senior Machine Learning Engineer will develop and optimize ML models for search ads, focusing on yield optimization, CTR prediction, and advertiser bidding strategies. Responsibilities include defining ML strategies, designing ML models, implementing ML pipelines, conducting A/B testing, and providing mentorship to team members.

As a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.

The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.

The Machine Learning Infrastructure Engineer will develop and maintain scalable ML infrastructure and tools, working closely with ML Engineers, Data Engineers, and Data Scientists. Responsibilities include supporting model development and deployment, building internal training platforms for offline experimentation, and collaborating on data pipelines for real-time recommendations.

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.

As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.

The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.