Top Machine Learning Engineer Jobs in Austin, TX

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

As an ML/AI Engineer, you'll build and operate the LLM platform, integrating models, optimizing performance, and collaborating cross-functionally to ensure reliable AI systems.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Applied Scientist AI/ML Intern will work on building data pipelines, finetuning LLMs, and deploying AI models in a collaborative team environment.

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

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.

Design and implement advanced AI/ML models and systems to enhance various applications, while optimizing existing models for performance and efficiency.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.