Top Remote Machine Learning Jobs in Ogden, UT

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

Lead development of machine learning algorithms for ad platform optimization, analyzing datasets, deploying models, and collaborating with teams to improve KPIs.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The Principal Machine Learning Engineer at Workiva leads ML initiatives, architects scalable systems, mentors teams, and drives the adoption of ML methodologies, while ensuring production readiness and sustainability.

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

The Forward Deployed ML Engineer will integrate ML models into clinical software, support customers with implementation, and collaborate across teams for optimal solutions in medical imaging.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

As a Research Engineer for Applied ML/AI, you'll bridge research and production, manage training and fine-tuning pipelines, optimize multimodal features, and ensure high-performance model integration in healthcare.