Top Remote Machine Learning Jobs in Austin, TX

As a Senior Backend Engineer focusing on the Machine Learning Platform, you will design and maintain scalable AI solutions, develop distributed systems, collaborate with product and engineering teams, and integrate AI innovations into product development.

As a Senior Machine Learning Engineer at Wasabi, you'll drive AI advancements, design and implement ML solutions including computer vision and NLP, and collaborate across teams to integrate machine learning capabilities. The role involves testing and debugging ML models to ensure quality and reliability.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

The Real-Time Cloud Data Integration Engineer will design and develop real-time data integration solutions, ensuring data integrity and efficient processes. Responsibilities include working with cloud technologies, analyzing and troubleshooting SQL queries, collaborating with stakeholders, and maintaining existing data integration tools.

As a Senior Data Engineer at Red Canary, you will develop and optimize AI/ML models to detect cybersecurity threats using large datasets. You'll collaborate with various teams to integrate AI-driven insights and refine data processing pipelines, while fostering a culture of innovation and mentoring peers.

As an MLOps Engineer, you'll design and implement automated pipelines for deploying ML models, manage model life cycles, optimize cloud infrastructure, collaborate with various teams to ensure model performance, and develop reusable tools to simplify future deployments.

KUNGFU.AI is seeking an AI Strategist to help clients integrate AI solutions by providing tailored strategies, doing quantitative analyses, and assessing organizational capabilities. The role involves engaging with diverse stakeholders and enabling clients to navigate challenges in adopting AI/ML technologies effectively.