Top Machine Learning Jobs in Omaha, NE

Lead the development and execution of ML-driven User Acquisition products, improving advertiser experience and managing product roadmaps in a fast-paced environment.

The Associate Director leads the Global Records and Information Management team, optimizing governance practices, managing projects, and developing relationships across various stakeholders, while ensuring regulatory compliance and strategic implementation.

The Senior Director of Data Insight will lead global data capabilities, focusing on analytics, AI integration, and operational efficiency to support business decisions.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The role involves producing insights for AI product management, advising clients on AI strategy, and developing business approaches for AI technologies. The analyst will work closely with executives and product managers, driving AI investments and guiding product lifecycle management.

The Senior Product Manager will own the roadmap and execution of a real-time data platform, leading product strategy, discovery, and commercialization while collaborating with cross-functional teams to enhance data-driven insights and product performance.

Responsible for leading a team of engineers, addressing complex backend problems, coaching, driving hiring decisions, and shaping project roadmaps at DuckDuckGo.

The Legal Operations Specialist will enhance the Legal team's efficiency through technical solutions, process improvements, and collaboration with various departments to streamline legal operations.

The Senior Data Scientist will lead AI innovations, design and evaluate models, collaborate with teams, and mentor colleagues in data science methodologies.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Enterprise Account Executive will drive revenue by engaging with enterprise insurance clients, managing the sales cycle, and fostering strategic relationships with executives, leveraging Vellum's data analytics platform.

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 design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal Machine Learning Engineer shapes the machine learning strategy and architecture, leads initiatives, mentors engineers, and influences technical decisions at SharkNinja.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

The Senior Vice President of Data & Infrastructure will lead a large team to develop complex data infrastructure while driving business impact, improving processes, and managing cross-functional collaboration.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The Sr. Paid Media Manager will strategize paid media campaigns, manage client relations, mentor team members, and leverage big data and AI for campaign success and client growth.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Head of Solution Consulting will lead a team in the Financial Services vertical, focusing on technical support during the sales cycle and product implementation while collaborating with other departments to drive growth and innovation.