Top Machine Learning Engineer Jobs in Austin, TX

The Senior Applied Scientist will build models for credit risk and fraud functions, leveraging machine learning and collaborating with teams to derive insights from data.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Join Tenstorrent as a Senior Machine Learning Engineer responsible for developing AI application demonstrations and APIs. Experience in Kubernetes and AI frameworks is valued.

Lead the development of AI-driven machine learning solutions to optimize customer experience through personalization and recommendations, while guiding team technical direction.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

As an Applied Machine Learning Engineer, you'll design and deploy AI applications, optimize models, and collaborate on integration into products. You will also evaluate model performance and manage AI solutions.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

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.