Top Remote Machine Learning Jobs in Rochester, NY

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Senior Forward-Deployed Engineer, you'll integrate solutions for customers, design technical architectures, debug issues, and contribute to product development with a focus on customer success.

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

The AI Product Sales Manager drives sales in AI products through strategic planning, managing sales pipelines, and collaborating with partners and teams to exceed quotas.

Lead the development of ML-powered personalization systems, managing a team of engineers and ML practitioners to drive technical roadmap and collaboration for effective borrower experiences.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

As a Senior Product Manager, you'll shape product vision and strategy, gather requirements, and collaborate with teams to deliver innovative healthcare solutions.

The Product Manager will contribute to product development, communicate with leadership, analyze market data, collaborate with engineers and designers, and oversee product positioning.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Drive banking financial services development by identifying new business opportunities, managing client relationships, and collaborating with teams to deliver solutions.

As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.

Lead and grow an engineering team to optimize borrower experiences, partnering with multiple departments to drive data-driven decisions and experimentation.

The GVP, Strategic Sales - East leads the east strategic sales team, managing 32 sales professionals, overseeing business processes, and enhancing customer relationships to drive sales growth.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.