Top Remote Machine Learning Engineer Jobs

The Lead AI/ML Engineer is responsible for designing, building, and deploying advanced AI and machine learning solutions, collaborating with various teams to ensure operational excellence and scalability.

Lead the development of AI/ML solutions, ensuring compliance with ethical standards, mentoring team members, and integrating AI into broader engineering efforts.

Develop and implement AI/ML strategies, build machine learning models, collaborate with teams, and drive adoption of AI solutions in healthcare.

Drive AI/ML innovations, develop AI solutions, collaborate with teams, ensure compliance, mentor members, and enhance provider experiences in healthcare.

The Staff Machine Learning Engineer will build ML systems to enhance fraud prevention and risk decisions driving platform improvements and mentoring fellow scientists.

As a Staff Machine Learning Engineer, you'll lead the Content Ranking team in enhancing machine learning models for video recommendations, ensuring scalability, performance, and technical direction across teams.

The Staff Machine Learning Engineer will lead Bitcoin risk modeling efforts, drive ML strategy, develop detection models, and mentor teammates.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

As a Senior AI/ML Engineer, lead the design and implementation of AI systems, mentor a team, and drive projects from concept to delivery. Collaborate with cross-functional teams on healthcare-related AI solutions, ensuring quality and innovation in model development.

As a Senior Staff Machine Learning Engineer, you'll build production models, improve machine learning features, and ensure data infrastructure for fraud detection and more. You'll leverage your extensive experience in machine learning and collaborate to drive product intelligence.

Lead the design and development of real-time machine learning personalization architecture, focusing on user experience and dynamic content discovery.

Develop and lead the architecture for a unified Global Search system, optimizing for speed and personalization using advanced retrieval logic and integrations, ensuring high-performance search experiences.

As a Senior Staff Machine Learning Engineer, you will design and implement AI infrastructure, collaborate on GPU performance, and mentor colleagues.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

This role involves designing and building advanced ML models to protect against fraud and enhance user experience while mentoring lower-level engineers and influencing technical roadmaps.

Lead AI/ML engineering initiatives to design, implement, and maintain AI systems for consumer-facing applications while mentoring teams and driving architecture.

The Senior AI/ML Engineer will design and deploy AI/ML models, utilizing GenAI technologies and agentic AI frameworks, while collaborating with stakeholders on large-scale datasets.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

Lead AI/ML Engineer responsible for designing, developing, and deploying AI solutions, collaborating with teams, managing projects, and mentoring engineers.

Seeking a Principal AI/ML Engineer to lead generative AI and machine learning projects, design architectures, build models, and optimize performance in healthcare.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

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