Top Senior Machine Learning Jobs in NYC, NY

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

The Staff Machine Learning Engineer will lead technical direction for ML technologies, design impactful ML solutions, mentor engineers, and drive cross-team initiatives.

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

The role involves designing and deploying machine learning systems for a search platform, focusing on ranking and retrieval while collaborating with cross-functional teams.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

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 Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

The Lead AI/ML Engineer develops AI approaches for healthcare, builds ML models, conducts experiments, collaborates with teams, and ensures compliance with policies.

The role involves developing machine learning models to prevent risky activities, collaborating with various teams, and researching emerging risks in financial activities.

Develop machine learning models to detect and prevent risky activity across Cash App, collaborating with cross-functional teams and shaping policies.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

As a Machine Learning Scientist, you will apply advanced machine learning techniques such as time series analysis and reinforcement learning, collaborating with cross-functional teams to develop and deploy impactful solutions.

The Applied AI/ML Engineer will design, develop, and deploy AI and machine learning solutions while collaborating with cross-functional teams to optimize processes and enhance operational efficiency.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.

The Senior AI/ML Engineer will develop scalable machine learning systems, lead AI initiatives, guide teams, and ensure the deployment of robust AI solutions.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

As an Applied Machine Learning Engineer, you'll design and optimize LLM models and pipelines, improve permitting workflows, and manage the ML lifecycle.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure model performance at scale.

The Senior Machine Learning Engineer will develop and optimize algorithms for Zocdoc's Sponsored Results product, improving healthcare experiences. Responsibilities include designing scalable ML infrastructure, mentoring peers, and collaborating across teams.

The Machine Learning Specialist will develop predictive models for portfolio optimization and investment analysis, ensuring rigorous testing and deployment in a cloud environment.

The role involves designing and implementing reinforcement learning pipelines for AI systems, integrating organizational data, and collaborating with product teams to enhance AI functionalities.

The Senior Machine Learning Engineer will develop foundational models for recommendations, mentor engineers, and collaborate on improving user experiences with machine learning.

The role involves designing ML models, research, improving ML capabilities, mentoring engineers, and managing data at scale utilizing cloud platforms.