Top Machine Learning Jobs in Ogden, UT

The Machine Learning Scientist will design causal inference models, build measurement pipelines, and collaborate with Finance & Product teams to optimize subscription pricing strategies at Netflix.

As a Machine Learning Scientist, you will build and enhance forecasting models for Netflix's subscription business, collaborate with various teams, and improve statistical forecasting methods while considering external market signals.

Lead ML strategy and standards as a senior individual contributor: define ML infrastructure, tooling, and lifecycle processes; establish monitoring and feature patterns; partner across platform, data, and product teams; mentor data scientists and ML engineers to scale reliable production ML systems.

As an MLOps/ML Platform Engineer, you will build and manage ML systems, optimize workloads, and ensure production model reliability while collaborating across teams.

Design, build, and scale ML and Generative AI systems. Develop applications using ML architectures and monitor model performance.

Build AI/ML-powered features across ClickHouse Cloud, designing scalable APIs, integrating inference systems and vector DBs, implementing frontend interfaces, and ensuring production-grade monitoring, versioning, and observability for model deployments.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.

Lead research on humanistic AI for autonomous systems. Collaborate with teams, design experiments, and publish findings in top-tier publications.

The Staff Machine Learning Engineer will develop AI/ML applications, collaborate with teams to implement models, and leverage a variety of technologies to enhance Twilio's customer support operations.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

Lead design and delivery of generative AI features end-to-end, prototype and productionize early-stage AI systems, set technical direction, mentor engineers, and collaborate with product and design to drive measurable product impact.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

Design, implement, and optimize scaled lifecycle campaigns across email and in-product channels to drive activation, revenue, retention, and cross-sell. Use marketing automation, behavioral data, and ML techniques to personalize experiences, analyze performance, and collaborate across growth, product, sales, and data teams.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead Financial Systems & Carrier Integration engineering teams, split time between hands-on technical work and people management. Drive architecture, delivery, AI/data initiatives, cross-functional collaboration, quality practices, HIPAA compliance, and production incident/RCA leadership.

Owner of client implementation and adoption for Sift's revenue cycle solutions. Build strong client relationships, deliver KPI-driven insights and ROI, coordinate cross-functional teams, surface product feedback, and apply healthcare revenue cycle expertise to drive operational improvements and client value.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

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

The Staff Product Manager will collaborate with research, engineering, and design teams to develop AI tools, define metrics, and enhance existing products based on user feedback and testing.

The Machine Learning Architect will design ML systems, manage Agile processes, automate software testing, and support AWS cloud applications for clients, while mentoring peers.

The Global VP of Customer Success will transform customer success operations, improve customer value realization, and work with executive teams to enhance product offerings.

As Founding Head of Product, you will define and own the product strategy, working across teams to shape AI-driven solutions and ensure market fit for Sciemo.

Lead product marketing strategies for AI solutions in consumer goods, crafting messaging, building marketing infrastructure, and defining go-to-market strategies.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.