Top Senior Machine Learning Jobs in Salt Lake City, UT

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead data analysis for drug discovery in neuroscience, integrating diverse datasets and collaborating with cross-functional teams to develop therapeutic candidates and validate targets.

The Director of Specialist Solutions Engineering will lead a team to drive revenue growth through expert solutions engineering, collaborating with Sales and Product teams, and developing impactful processes and strategies.

Design, build, and maintain predictive models and analytics for quality management, risk adjustment, and operational efficiency; analyze multi-source healthcare data, deploy ML solutions, experiment with emerging AI, and collaborate across teams to monitor outcomes and drive data-driven decision making.

The Principal Data Scientist will enhance predictive models for healthcare quality management and operational efficiency, analyzing multiple data sources and applying AI and machine learning to improve outcomes.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

As a Senior Associate in Business Operations, you'll drive data-driven decisions, lead A/B testing, and optimize user acquisition strategies to scale the business.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Senior Associate in Business Operations, you'll drive data-driven initiatives, partner across teams, and lead A/B experiments to optimize strategies for growth and operation efficiency.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

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

Design and deploy ML solutions for clinical data, collaborating with cross-functional teams to translate healthcare challenges into scalable systems. Maintain reusable codebases and provide guidance to junior engineers.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

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

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.