Top Machine Learning Jobs in Ogden, UT

The AI/ML Principal Engineer leads technical projects, supports product strategy, and manages complex engineering issues while mentoring staff and contributing to business strategies.

The SIGINT Systems Engineer will guide SIGINT programs through Agile practices, Cloud migration, and automation, focusing on systems engineering and integration.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Solutions Engineer will provide technical support for customers, ensure satisfaction, communicate with sales, and analyze customer needs for product enhancements.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The Senior AI Research Engineer will develop AI-based solutions for cybersecurity, applying machine learning technologies to protect data and solve real-world problems within a collaborative team environment.

Hypergiant seeks experienced engineering professionals for future opportunities in software development, systems engineering, and data science, requiring active U.S. national security clearance.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

Assist in designing, implementing, and evaluating AI/ML models for cyber projects, developing prototypes, and automating analysis tools within a multidisciplinary team.

The ML Ops Engineer will enhance ML infrastructure by productionizing models, implementing CI/CD, ensuring observability, and collaborating with data scientists to improve ML workflows.

The Machine Learning Engineer will build and optimize internal tools, frameworks, and performance measurement systems, collaborating with Data Science to enhance model deployment in a dynamic environment.

The Machine Learning Consultant will structure, enrich, and connect data for Suzy's AI-driven applications, design frameworks, and implement systems for efficient data retrieval and processing.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

Design and implement a perception system for autonomous vehicles, focusing on data integration from various sensors and ensuring safe operation.

The Analytics Engineer will lead analytics initiatives for live events at Netflix, where they’ll define metrics, build reporting tools, and drive strategic insights to improve viewer engagement and monetization.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.