Top Machine Learning Engineer Jobs in Austin, TX

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

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.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As a Forward Deployed Engineer for ML at Sonar, you will engage with clients to implement and deploy machine learning solutions, ensuring successful integration and production-grade deployments while leading technical discussions and building client relationships.

As a C++ Machine Learning Engineer, you will optimize ML training frameworks, debug model performance, and collaborate with various teams to enhance model implementation.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

The Senior Staff Machine Learning Engineer will drive the architecture and delivery of AI systems focused on fraud detection and risk assessment, leading initiatives across teams while mentoring engineers.

As a Senior Machine Learning Engineer, you will develop machine learning models, automate data pipelines, and collaborate with teams to meet customer needs.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

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.

The Senior Machine Learning Engineer will lead the development of scalable ML systems, mentor team members, and improve existing data infrastructures while collaborating with various stakeholders to execute strategic initiatives.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

The role involves designing and deploying AI applications using LLMs, optimizing deep learning models, and collaborating with teams to integrate AI solutions into workflows.

Lead the development of AI systems and models, optimize workflows, manage data engineering efforts, and mentor junior engineers in AI and ML best practices.

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.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The On-Device Machine Learning Engineer will optimize and deploy ML models on consumer hardware, enhancing performance while ensuring privacy and reliability. Responsibilities include model optimization, lifecycle management, and collaboration with product teams to achieve high user experience benchmarks.