Top Machine Learning Engineer Jobs in Austin, TX

The Machine Learning Annotation Content Developer creates instructional materials for data annotation workflows, developing content for text, image, video, and audio. Responsibilities include producing materials, hands-on exercises, and iterative content revisions while collaborating with the program team to align on learning outcomes.

The role involves automating and maintaining AWS infrastructure, collaborating with engineering teams for deployment, optimizing ML infrastructure, and ensuring compliance and security standards in a cloud-native environment.

The Software Engineer will develop machine learning infrastructure, optimize models, and create tools for data analysis while collaborating with a diverse team.

The Senior Data Engineer will design and optimize data pipelines for machine learning and AI, collaborating with teams to ensure data quality and security.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

The AI / ML Solutions Engineer will implement and scale machine learning workloads using Ray, advise customers on ML architecture, and enable MLOps teams through technical guidance and support.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

Design and deploy machine learning models for pricing decisions, implementing backend services and collaborating with teams to influence pricing strategy.

Lead the architecture, development, and management of machine learning systems for personalized decision-making, ensuring reliability and explainability in real-time contexts.

The apprenticeship offers hands-on experience in AI/ML and software development, alongside participating in a bootcamp, working on production-level projects, and receiving mentorship.

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

The Machine Learning DevRel Engineer will engage with the FiftyOne community, create documentation, code integrations, deliver courses, and provide technical support.

Design and implement evaluation frameworks for AI systems, focusing on human+AI collaboration. Lead statistical analysis and benchmarking efforts, working cross-functionally to enhance AI model performance.

The Senior Software Engineer I role involves developing scalable solutions, mentoring junior engineers, and collaborating on technical roadmaps within the healthcare industry.

The Sr. Machine Learning Engineer will build tooling and services for ML and generative AI solutions, focusing on deployment, evaluation metrics, and cross-functional collaboration.

The Sr. Machine Learning Engineer will analyze data, develop risk control strategies, prepare reports, and partner with teams for implementing risk strategies using ML tools.

The Senior Software Engineer II at Aledade will develop scalable AI/ML solutions, mentor junior engineers, and collaborate with cross-functional teams in the healthcare industry.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

The role involves designing and operating modern data and ML platforms, building scalable pipelines, implementing MLOps systems, ensuring compliance, and enabling AI solutions in public health.