Top Remote Machine Learning Jobs in Omaha, NE

The Senior Director of Product Growth shapes new product planning, monetization, and go-to-market execution while accelerating revenue and leading customer-centric initiatives across product lines.

Lead a team of Partner Solution Engineers to drive technical wins and implement solutions for strategic System Integrator partners, focusing on architecture and business value.

The Data Science Sr. Product Manager leads the machine learning and AI team, managing project roadmaps and data analytics for improved claims management.

The Technology Development Program offers participants hands-on experience in Data Science and Data Analytics Engineering through rotations, skill development, and mentorship leading to a full-time role.

Design and build a multi-agent architecture using LLMs for threat detection. Collaborate with teams to enhance email security products while ensuring high quality and low latency solutions.

The Assistant Modeling Manager develops and enhances auto insurance rating plans, applying advanced modeling techniques and collaborating with data scientists to provide insights and ensure compliance with regulations.

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.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

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

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 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.