Top Machine Learning Jobs in Ogden, UT

Leads development, deployment, and scaling of AI and machine learning solutions across business units. Drives generative AI and LLM innovation, collaborates with cross-functional and global data science teams, and supports integration of AI tools across platforms. The role requires hands-on technical contribution, strategic leadership, experimentation, stakeholder communication, and adoption of best practices in data science and AI transformation.

Own technical product marketing for Bloomreach’s APIs, integrations, and agentic AI platform. Translate platform capabilities into positioning, use cases, partner launch strategies, customer storylines, sales enablement, and go-to-market materials. Collaborate with Product, Engineering, Solutions Engineering, partners, sales, and technical buyers. Define launch metrics, coordinate milestones, communicate product value, and evaluate post-launch results.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Leads a team of machine learning engineers and data scientists developing and deploying styling algorithms and AI-powered personalization experiences. Defines AI and ML interventions, shapes product roadmaps, oversees experimentation and production deployment, and partners with product, design, merchandising, styling, and business teams. Establishes best practices for collaboration, code quality, AI use, and data management while mentoring team members and communicating technical concepts to stakeholders.

Design, build, and ship production AI agents integrated end-to-end into a TypeScript/Node.js/React stack. Apply ML judgment to product decisions, improve agent reliability and evaluations, and move quickly in a startup environment owning ambiguous problems.

This role leads Revenue Growth Management initiatives, linking data analytics with executive strategy to drive business growth through actionable insights and project management.

Leads Stitch Fix’s Product Algorithms portfolio across Growth, Styling, and Fix & Freestyle. Defines strategy and roadmaps for machine learning, AI, experimentation, personalization, and product analytics; drives scalable production capabilities and measurable business outcomes; improves planning, operational readiness, incident management, and decision-making; and builds a high-performing organization of managers and senior technical contributors while partnering with executive and cross-functional stakeholders.

Own the strategy, requirements, evaluation, and execution of AI agent products and systems. Partner closely with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, reliability, and user experience. Define evaluation frameworks, drive prioritization, and ensure AI features are understandable, predictable, safe, and trusted. Translate model capabilities and feedback into product decisions and reliable real-world workflows.

Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner closely with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, reliability, and user experience. Define offline and online evaluation frameworks, drive product execution, and ensure AI features are correct, predictable, safe, and trusted. Translate model capabilities and feedback into product decisions, roadmaps, and rapid iteration.

The Senior Product Architect will design security products, collaborating with product management and engineering teams, focusing on architecture and functionality for high-level product features.

Lead the Data Sources product roadmap for document parsing, fraud detection, and bank aggregation. Drive metrics (parse accuracy, fraud catch rate, connection success, SLAs), write specs, engage clients, mentor PMs/engineers, and represent the platform externally. Prioritize document types, extraction models, reliability, and scalability to improve conversion, client satisfaction, and operational efficiency across mortgage, tenant screening, and government use cases.

Lead enterprise AI and transformation engagements—own customer relationships, scope buildable solutions with FDE, drive commercial outcomes and expansion, advise C-suite on AI strategy, and create repeatable, scalable offerings to evolve Tive into an AI-powered intelligence platform.

Senior individual-contributor role leading 3Cloud's enterprise AI strategy and Center of Excellence. Advise C-suite clients, define AI architectures and standards, drive adoption, develop offerings, and convert strategy into implementation while mentoring technical leaders and shaping commercial growth.

Lead Pearl's Enterprise AI product business end-to-end: define vision and GTM, build and scale AI+human offerings, partner with enterprise customers, and run a lean cross-functional team to deliver measurable commercial outcomes.

Leads enterprise strategy, development, and adoption of applied AI, data science, and commercial intelligence capabilities. Oversees multidisciplinary teams, AI-powered products, scalable data and AI platforms, governance, model lifecycle management, and responsible AI practices. Partners with commercial and technology leaders to prioritize use cases, drive measurable ROI, build talent, and accelerate business growth, customer engagement, operational efficiency, and data-driven decision-making across a regulated, life sciences environment.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Lead integrated paid media strategy and execution across channels, modernize media planning with technology and data, manage agency/vendor relationships and multimillion-dollar budgets, build media capabilities and teams, and deliver executive insights to optimize ROI using AI, automation, and advanced measurement.

Lead discovery, definition, and delivery of B2B SaaS product features. Own customer research, data-driven prioritization, UX collaboration, KPI tracking, and cross-functional execution with engineering, marketing, and customer success.

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Lead a centralized Data Science & Engineering team to build scalable data pipelines, productionize ML/AI solutions, ensure data governance and reliability, partner with cross-functional stakeholders to prioritize initiatives, and drive platform improvements for analytics, personalization, and product features.