Top Machine Learning Jobs in Austin, TX

The Senior Machine Learning Engineer will develop and implement machine learning models, work with stakeholders, and drive AI solutions for complex data engineering challenges while ensuring high-performance operations.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

The role involves developing ML methods for robotics, focusing on integration with learning-based planning and control under real-world constraints. Responsibilities include benchmarking approaches and contributing to system prototypes.

As an AI & ML Engineering Intern, you'll design and build internal AI-powered tools, automate workflows, and contribute to shared AI infrastructure, with a focus on LLMs and machine learning frameworks.

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

The Senior Software Engineer will lead projects in building AI/ML workflows, developing model services, and enhancing APIs, while collaborating across teams to drive technical excellence and operational success.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Full-Stack Engineer II will lead technical projects, develop AI application services, maintain APIs, and collaborate on system architecture and product design.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Lead machine learning research initiatives, develop algorithms, manage projects, mentor researchers, and collaborate with industry stakeholders.

As an AI Strategist, you will lead AI strategy engagements, mentor teams, identify business opportunities, and communicate complex AI concepts to clients.

As an AI Strategist, you'll influence enterprise clients' AI investments, develop strategies for AI adoption, and ensure measurable value delivery. You'll work closely with stakeholders, mentor teams, and communicate complex ideas effectively.

The Senior ML Inference Engineer will design and operate a deployment platform for ML models onto autonomous vehicle hardware, collaborating with teams to enhance tools and address deployment issues.

The Senior Solutions Architect II focuses on providing cloud architecture solutions, AI/ML guidance, and technical support to ensure customer success and retention at DigitalOcean, collaborating with various teams to optimize services.

The Senior Software Engineer will lead projects focused on building an AI platform for managing models, collaborating on features, and maintaining high performance in a scalable environment.

The role focuses on developing AI strategies for business operations, implementing proof-of-concepts and leveraging AI technology to drive efficiencies across various departments.

Lead design, build, and deployment of scalable ML/AI models (including image/vision) to production. Collaborate with engineering and business teams, monitor model quality and bias, and apply data-driven solutions to predict and aggregate risk.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Perception Engineer will lead the design and deployment of the perception pipeline for detecting and tracking aerial threats using machine learning and computer vision technologies.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.