Top Machine Learning Jobs in Provo, UT

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The Account Executive will drive sales in enterprise accounts, develop strategic plans, and foster long-term relationships to enhance revenue and advocate for the company’s solutions.

Lead initiatives in designing and building large-scale distributed data systems and ML infrastructure, while collaborating across various engineering teams.

This role involves applying machine learning techniques to investment management strategies, leading initiatives to bring these strategies to investors.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The role involves engaging with customers to provide technical guidance, supporting pre-sales activities, developing technical strategies, and managing risks while collaborating with internal teams to align solutions with customer needs.

Lead the development of business models and go-to-market strategies in the Pharma commercial space, focusing on partnerships and innovative pricing.

The Enterprise Account Executive will drive new business opportunities, manage customer relationships, and engage in technical discussions with clients in the ML/AI space.

Lead the Product Safety team in developing safety strategies for autonomous vehicle technology. Oversee safety standards, mentor engineers, and ensure compliance with ISO standards, focusing on safe system development and deployment.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

This role focuses on increasing revenue in the Federal government sector by securing new accounts, expanding relationships, and engaging with government decision-makers to deliver ExtraHop's solutions.

As a Client Solutions Architect, you will lead technical solutions for clients, drive product adoption, manage projects, and serve as a liaison between clients and internal teams at Arine.

The Senior Product Manager will lead the development of payment systems in loan servicing, collaborating with internal teams to enhance product features and compliance, focusing on AI-driven solutions in auto finance.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

The Senior Scientist in Clinical Analytics will implement data analytics strategies, deliver insights through advanced analytics, and collaborate with stakeholders to drive business efficiencies and decisions.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The AI Architect will lead the design and development of AI-powered products, aligning technical architecture with business needs and driving product strategy.

Manage dealership accounts, build relationships, communicate client needs, analyze CRM data for improvements, and collaborate with product teams for enhancements.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

As a Fullstack AI Software Engineer, you will develop full-stack applications, mentor colleagues, and integrate AI technologies while collaborating globally.

The Product Manager will lead product strategy, gather requirements, work with teams to build software solutions, and present product vision to clients.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.