Top Remote Machine Learning Jobs in Tucson, AZ

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.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

As a Staff Machine Learning Engineer at Fakespot, you will leverage AI and machine learning techniques to analyze unstructured data, develop and optimize models for tasks like entity recognition and text generation, and collaborate with cross-functional teams. You'll also monitor and refine models for performance, ensuring the delivery of trustworthy tools to enhance eCommerce transparency.

In this role, you will apply statistical and machine learning techniques to analyze unstructured data, develop and fine-tune machine learning models, utilize pretrained language models, and ensure their effectiveness in production. You will work collaboratively with interdisciplinary teams to enhance product features while staying updated with advancements in NLP.