Top Machine Learning Jobs in Austin, TX

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Lead development of machine learning systems for fraud detection, driving strategy, managing initiatives, and collaborating with business and technical partners.

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 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.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

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.

The Senior Staff Machine Learning Engineer will lead system development for personalization and ranking, mentor engineers, and influence technical direction within large-scale systems.

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

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

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

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

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Lead the design and deployment of machine learning systems at Senseye, focusing on computer vision and time-series analysis for mental health diagnostics. Manage a team of ML engineers, establish best practices, and collaborate cross-functionally to align ML outputs with product and regulatory goals.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The role involves applying machine learning and statistics to develop algorithms for RF domain challenges, requiring a strong mathematical foundation and cloud infrastructure experience.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

The Senior ML Engineer will design, deploy, and scale ML systems for personalized recommendations, impacting user engagement through data-driven solutions.

In this role, you'll develop scalable ML systems to optimize advertising performance and user engagement, collaborating across teams to refine algorithms and improve KPIs.