Top Machine Learning Jobs in Ogden, UT

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

As a Senior Machine Learning Engineer, you'll create ML models to combat fraud on Airbnb, collaborating across teams to enhance user safety and confidence.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As a Senior Machine Learning Platform Engineer, you'll architect a scalable ML platform, collaborating with teams to ensure compliance, optimize performance, and guide best practices in ML workflows.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

The Staff Machine Learning Engineer will develop ML models and infrastructure for personalized experiences, collaborating with teams to implement end-to-end solutions and ensure high quality in systems development.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

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

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The AI/ML Software Engineer will design, implement, and maintain AI features, work with product teams, and keep abreast of industry trends.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

Lead the design and delivery of ML infrastructure and models, mentor engineers, and drive innovation in AI-powered intelligence at Upwork.

The Lead Database Engineer designs and oversees data architecture, leveraging AI and machine learning to manage structured and unstructured data and ensure data integrity.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

Design and oversee deployment of data architecture, manage structured and unstructured data, and develop tools using AI and machine learning.

Lead design, build, and operation of Twilio's ML and real-time data platform. Architect cloud-native pipelines, feature stores, streaming/batch systems, and low-latency model serving on AWS. Implement MLOps (CI/CD, testing, monitoring), run system design and threat modeling, mentor engineers, and partner with Product, Security, and Compliance to meet privacy and governance requirements.

The Senior Machine Learning Engineer will enhance fraud detection capabilities through ML technologies, improve model performance, and lead high-impact ML projects from experimentation to production.