Top Machine Learning Engineer Jobs

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

The AI/ML Engineer will design and deliver scalable ML solutions, improve existing tools, write maintainable code, and collaborate with teams.

The role involves developing ML algorithms for health applications, collaborating with data scientists and engineers, and deploying systems based on various data sources.

Develop and deploy AI-driven solutions, collaborate with teams, and communicate technical concepts effectively, focusing on national security challenges.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

The role involves improving Python development workflows, leading projects across teams, mentoring engineers, and enhancing developer productivity using various tools and systems.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

The role involves building awareness of technologies, mentoring talent, promoting a culture of engineering excellence, and collaborating on critical business issues.

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

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

Design and implement ML-powered features, optimize algorithms, and collaborate cross-functionally to elevate the ML platform and enhance user experiences.

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

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.

The Machine Learning Engineer Intern will create models for users and advertisers, perform code reviews, and ensure code quality while collaborating with partners and solving ambiguous problems.

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.

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

The role involves building machine learning models to detect and reduce fraud in Block's Cash App and Square ecosystems. Responsibilities include collaboration with cross-functional teams, developing ML-driven solutions, and improving the ML lifecycle efficiency, while also mentoring teammates.

The Machine Learning Engineer will build models to detect fraud in Block's ecosystems, collaborate with teams, and enhance ML processes.

The role involves R&D and software development in machine learning, focusing on algorithm development, data processing, and prototype development for various applications.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Develop advanced ML models for an advertising platform, focusing on performance and scalability. Lead technical strategy and collaboration across teams to enhance campaign automation and optimization.

The Principal AI/ML Engineer will lead the design and implementation of machine learning solutions in AdTech, focusing on campaign optimization and user personalization while also mentoring other engineers.