Top Remote Senior Level Machine Learning Jobs in Dallas, TX

As a Senior Software Engineer in ML Infrastructure, you'll collaborate with various teams to enhance Thumbtack's machine learning capabilities, focusing on feature engineering, model monitoring, and deployment. You will help standardize processes and drive projects to completion while solving complex technical challenges.

The Senior Machine Learning Software Engineer will design, build, evaluate, deploy, and iterate on large-scale machine learning systems, collaborating with cross-functional teams to enhance user experience at Dropbox. Responsibilities include working with product, infrastructure, and evaluating ML system performance against business objectives.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.

As a Staff Machine Learning Engineer, you will lead the design and integration of Generative AI solutions in Firefox, collaborating across teams. You will build infrastructure for training LLMs and implement validation procedures to ensure model performance while monitoring and optimizing deployed models.