Top Machine Learning Jobs in Salt Lake City, UT

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Lead the architectural vision and engineering for IAM and workforce security at Coinbase, integrating security with business goals across complex cloud ecosystems and SaaS applications while mentoring teams and influencing risk strategies.

As a Senior Computational Biologist, you will lead target discovery using patient data integration, guide data science tools, and communicate findings to stakeholders.

As a Software Engineer II, you'll develop backend systems, support ML platform features, collaborate across teams, and ensure system availability.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

The Business Operations Associate partners with various teams to drive data-informed decisions, optimizing user acquisition and automating processes.

The Senior Associate in Business Operations will lead data-driven initiatives, A/B testing, and collaborate with marketing and product teams to enhance user acquisition and operational efficiency.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

The Director of AI guides strategy and implementation of AI to improve operational efficiency and customer experience, managing a team and collaborating on scalable AI solutions.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As Engineering Manager, lead AI/ML infrastructure development, guide team through technical challenges, ensure safety in AI applications, and mentor engineers in a dynamic environment.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Lead strategy and execution of data-driven personalization by activating zero- and first-party data, behavioral signals, and support interactions to inform predictive models; own the CDP and marketing automation data roadmap; prioritize work across product, marketing ops, and data engineering; support reinforcement learning models; and expand personalization across channels to drive retention and cross-sell.

Lead technical direction and architecture for client-facing products and platforms. Design and build API-first, cloud-native services, ensure performance, reliability, and security, contribute to conversational AI, own projects end-to-end, improve CI/CD and development workflows, and provide technical leadership across teams.

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.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

The Senior Product Manager will lead the integration of airline and third-party partners, optimize supply metrics, and leverage AI for automation. Responsibilities include managing APIs, collaborating with engineering, and improving the booking experience.

The Director of Product will own the strategy for Vibe's identity graph, drive audience products, and ensure commercial impact by translating capabilities into narratives for clients. Responsibilities include managing internal data platforms and driving product vision while leveraging data partnerships and compliance frameworks.