Top Machine Learning Jobs in Rochester, NY

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Design and oversee deployment of data architecture, manage structured and unstructured data, and develop tools using AI and machine learning.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Staff Machine Learning Engineer will architect and implement advanced ML solutions, lead ML applications in Messaging and Notification, and mentor engineers within Airbnb's AI innovations.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

The Senior Manager will lead a team of Partner Solution Engineers to enhance technical collaboration with strategic ISV partners, driving consumption growth and ensuring effective implementation of Snowflake solutions, while coaching the team on technical enablement and sales strategies.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

Senior domain expert responsible for translating payment integrity domain knowledge (CR, COB, DM) into scalable rule logic, workflows, automation, and AI-enabled solutions. Partners with product, engineering, analytics, and operations to design, govern, and continuously improve rules, orchestration, and automation to reduce false positives and prevent improper payments.

Intern Business Analyst on the Customer Success team: run client discovery, analyze requirements, define KPIs, develop business cases, recommend loyalty strategies, oversee GRAVTY implementation, create training and marketing collateral, manage documentation, and support product and go-to-market activities.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Director, Project Management oversees multiple projects, ensures timely delivery, manages a team of project managers, and collaborates on business development and process governance.

The Fraud & Safety Risk Manager develops and executes strategies to mitigate risks associated with fraud and safety. This role involves strategic thinking, operational oversight, and collaboration across teams to enhance user experience while managing risks.