Top Machine Learning Jobs in Provo, UT

The Brand & Communications Manager will oversee Netcraft's organic social media strategy, engage with cybersecurity communities, create compelling narratives, and measure brand performance. Cybersecurity experience is preferred to support thought leadership and audience growth.

The Talent Researcher role involves building talent maps in AI, ML, and voice technology, translating hiring signals into research plans, and delivering market intelligence to enhance recruitment processes.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

The Business Development Manager leads strategies for growth in telecom accounts, engaging stakeholders to develop AI/ML-driven solutions, and managing partnerships in a fast-paced environment.

The VP Analyst will provide insights to C-level clients on enterprise application services and AI capabilities, conduct research and analysis, and develop thought leadership content while advising clients on strategies and implementations.

The Sr. Solution Engineer collaborates with Sales to advance enterprise opportunities, conducting demos, workshops, and assessments to align with customer needs and position Aera's Decision Intelligence platform as a transformative solution.

The Senior Technical Recruiter will manage the full-cycle recruiting for technical roles in Data, Machine Learning, and Software Engineering, working closely with engineering leadership to build talent pipelines and evaluate candidates' technical skills.

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

As an Entry-Level Solution Engineer, you will learn to design AI-driven solutions, support implementations, and develop customer engagement skills in a collaborative environment.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

The Executive Director of Advanced Analytics & Data Science leads BeOne's strategic vision in data analytics, AI, and machine learning, driving commercial success and innovation while managing a high-performing team and ensuring data-driven decision-making across the organization.

The Senior Manager will design and implement AI-driven underwriting processes, assess current practices, and improve risk assessment through automation and data analysis, while collaborating with various teams.

The Senior Technical Product Manager will lead the roadmap for Aledade's AI Data Platform, collaborating with various teams to enhance AI capabilities and improve healthcare outcomes for patients.

The role involves developing prompts for AI insights, evaluating AI vs. human judgment, designing frameworks for portfolio management, and constructing benchmarks for AI systems in wealth management.

As an Insurance Expert in AI Residency, you will develop prompts, evaluate human vs AI judgment, design frameworks, and construct benchmarks for frontier AI systems in insurance.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The VP of International leads the business strategy and financial performance of international operations, collaborating with senior leaders to drive efficiency and profitability.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Summer internship for MS/PhD students to apply AI/ML and LLMs to clinical pharmacology datasets, perform literature review and data management, and develop/validate PBPK and PK/PD models using tools like R or Python.

Lead the strategy and execution of AI and data products, focusing on sales and marketing initiatives while partnering with business teams to define and deliver impactful solutions across operational systems.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Lead the development of AI-enabled tools that enhance educator interactions, managing product strategy, system development, and ensuring ethical AI use.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.