Top Machine Learning Jobs in Omaha, NE

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

The AI Business Analyst will optimize Dropbox's support systems for AI innovation by analyzing performance, guiding projects, and improving efficiency and customer outcomes through data-driven recommendations.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

The Product Manager will lead the Clinical Intelligence product, focusing on improving HEDIS measure performance through stakeholder alignment and data-driven decision making.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

Define and execute the vision for leveraging machine learning and analytics to personalize customer engagement. Oversee product managers, align across teams, and scale data science capabilities.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

Lead the development of AI-powered security products focusing on data access governance and DLP, enhancing Dropbox's capabilities for SMBs and mid-market businesses.

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.