Top Senior Level Machine Learning Jobs in NYC, NY

Lead complex machine learning projects, analyze datasets, write production-ready code, anticipate risks, and communicate effectively with cross-functional teams.

Lead a team of machine learning engineers, data scientists, and software engineers in developing and optimizing systems for conducting lift measurement and incrementality optimization. Define system architecture for scalability, performance, and reliability. Conduct lift analysis and drive innovation in experimental design. Collaborate with senior leadership to translate data insights into strategic recommendations.

Senior Machine Learning Engineer role at Canoe Intelligence focusing on NLP algorithm development, model training, data preprocessing, collaboration with teams, research, and mentorship. Responsibilities include leading design and implementation of NLP algorithms, developing language models, driving entity resolution solutions, and contributing to innovation. Requires 5 years of ML experience, proficiency in Python and relevant libraries, Bachelor's degree in computer science, and expertise in information extraction and entity disambiguation.

The Director of Machine Learning Operations at Kargo will lead and shape the ML Operations function, managing a team to develop and implement ML Ops strategies. Responsibilities include overseeing the deployment and maintenance of machine learning models and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.

Seeking a VP of Machine Learning Operations to lead the optimization and management of ML models in a production environment. Responsibilities include architecting ML frameworks, integrating models into operational pipelines, designing scalable ML pipelines, and optimizing performance and cost-efficiency of ML systems. Requires extensive experience with AWS, GCP, Python, ETL, large datasets, data science technologies, predictive analytics, and machine learning.

Architect and lead the design of scalable MLOps pipelines, oversee repo management, implement robust monitoring frameworks, drive platform improvements, raise engineering standards, establish data lineage processes, and develop data versioning and model management systems.

Senior Machine Learning Engineer at Dropbox working on large scale AI/ML systems, collaborating with cross-functional teams, and impacting millions of users.