Top Senior Level Machine Learning Jobs in Austin, TX

The Sr. Machine Learning Engineer at CrowdStrike will innovate machine learning technologies, focusing on scalability and cost-effectiveness, build backend microservices, maintain data pipelines, and contribute to the training of custom models while collaborating across teams and mentoring other engineers.

As a Senior Software Engineer on the ML Platform team, you will develop and maintain the MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Your role focuses on optimizing software applications, building infrastructure for model training, and enabling collaboration with data engineers and research scientists.

The AI Strategist at KUNGFU.AI focuses on helping clients integrate AI/ML into their organizations by delivering quantifiable insights and actionable recommendations that enhance their capabilities and competitive advantage. Responsibilities include conducting stakeholder interviews, analyzing organizational dynamics, and collaborating with engineers to create impactful strategies.

Lead customer transformation by designing and executing data and analytics strategies. Collaborate with business leaders to address challenges and develop a future state. Contribute to the consulting practice's direction through service delivery and support business development. Work with clients and teams to deliver data initiatives while mentoring junior consultants.

The Machine Learning Research Engineer at Optiver focuses on deep learning for price forecasting, building training and inference pipelines, enhancing deep learning frameworks, and understanding trading systems. They will collaborate with researchers and engineers to impact trading strategies directly.

As a Machine Learning Performance Engineer at Optiver, you will build and optimize deep learning infrastructure, engage with team members to enhance AI initiatives, identify performance issues, and deepen your knowledge of trading systems.