Top Machine Learning Jobs in Salt Lake City, UT

As a Data Scientist at Jerry.ai, you will leverage machine learning to drive data-driven business initiatives, conduct A/B testing, and collaborate with various teams to optimize user acquisition strategies.

As a Product Manager at Jerry.ai, you will manage AI-driven communications, enhance customer interactions, and collaborate with engineering and data science teams to drive customer satisfaction.

The Senior Product Manager will lead Jerry.ai's AI communications product, collaborating with teams to enhance messaging systems and increase automation, driving customer satisfaction.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

The AI Consultant supports AI implementation, collaborates with teams, conducts assessments, manages projects, and drives change management for AI strategies.

The Engineering Director - Machine Learning leads a team to develop ML solutions and strategies in the commercial real estate industry, overseeing system design, development, and deployment while collaborating with various teams.

As a Director of Financial Risk Management, you will oversee risk analytics, lead AI initiatives, manage risk frameworks, and ensure regulatory compliance while mentoring teams and collaborating across departments.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

Lead and develop a high-performing Sales Engineering team, advising on complex workflows and driving customer success with the Gong Revenue AI platform.

Manage and build a high-performing Sales Engineering team, mentor employees, collaborate cross-functionally, and drive revenue growth through effective solution-based selling.

Oversee a team of Area Sales Managers and Client Success Managers, driving growth, managing performances, conducting training, and resolving field issues while achieving sales targets with significant travel requirements.

As a Senior Creative Producer/Strategist, you'll generate creative concepts, lead high-performing ad production, and analyze performance data, while leveraging AI to enhance workflows and build a scalable creative system.

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.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.