Top Senior Machine Learning Jobs in Ogden, UT

As a Technical Recruiter, you'll recruit for Research and Data Science roles, manage candidate experiences, and collaborate with hiring managers to meet hiring goals and improve recruiting processes.

As a Senior Account Manager, you'll manage a small- to medium-sized business portfolio, exceed revenue targets, engage with clients, and drive account growth through effective planning and execution.

The VP of Government Strategic Growth will lead revenue generation across Medicaid agencies and health systems by implementing AI-driven analytics and forging lasting partnerships, focusing on state-level healthcare transformation.

This role involves leading the development of advanced AI solutions, particularly in machine learning and natural language processing, for military applications. Responsibilities include deploying models, collaborating with cross-functional teams, and optimizing AI systems for operational efficiency.

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

The role involves designing and prototyping advanced AI reasoning systems for real estate, focusing on LLM-powered applications while mentoring junior scientists.

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.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

The Compliance Associate manages AML transaction monitoring, enhances compliance frameworks, drives automation, and supports scalable operations across regions and products.

Lead the Applied Machine Learning team at ExtraHop to develop systems for behavioral detection in network security. Manage model design, evaluation, and operationalization while maintaining experimental rigor and collaborating with product teams.

As VP of Engineering, you'll lead the application engineering strategy and team, integrating AI capabilities into products while ensuring quality and execution across backend, mobile, and desktop platforms.

The Director of Product Marketing will own product launches, drive market growth, support sales, and manage the marketing department in a biotech startup focused on antibiotic resistance diagnostics.

As Head of Sales, you will lead revenue growth in hospitals by selling diagnostic solutions, building a sales team, and engaging key stakeholders.

Lead the Data Engineering team at Federato, manage delivery and processes while ensuring alignment across Data Science, Product, and Customer Success.

As a Staff AI Engineer, you will drive product-centric development of AI technologies, enhance evaluation systems, optimize reasoning strategies, and lead production-grade model tuning while balancing performance and cost.

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

As a Senior Data Scientist at Netflix, you'll lead experimentation and statistical modeling in game verticals, influencing data-driven decisions and presenting insights to stakeholders. You'll utilize your extensive experience in data science and statistics to enhance game development processes.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

The Senior ML Ops Engineer will build and maintain infrastructure for AI/ML at scale, manage machine learning models, and support team initiatives while ensuring code quality and engineering standards.

Lead product managers overseeing distribution and onboarding experiences, drive product execution, manage a team, and advocate for user needs.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.