Top Machine Learning Jobs in Lincoln, NE

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

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

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

Lead the Data & Analytics team, focusing on building data platforms, improving delivery speeds, and integrating Generative AI into data strategies.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

As Director of Engagement Management, oversee the team, drive customer success strategies, manage operations, and enhance product utilization while fostering team development and customer relationships.

The role requires leading AI business strategy and advising C-suite executives on AI products to enhance adoption and business outcomes, including creating actionable insights and conducting market research.

The Digital Inside Sales Specialist will identify and close digital transformation opportunities in AI, ML, and automation, focusing on B2B sales within targeted accounts while collaborating with internal teams for technical consultation.

The Business Process Consultant will partner with operations to analyze and optimize processes, enhancing efficiency, governance, and customer outcomes. Responsibilities include data analysis, developing process improvements, and supporting change management.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Lead and grow EnergyHub's DER partner ecosystem by managing partner sourcing, onboarding, contracts, and cross-functional execution. Build and develop the Partner Solutions team, drive executive relationships, resolve operational issues, and define commercial and ecosystem growth strategies to meet business objectives.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

The Senior Product Manager will lead the development of HubSpot's usage data platform, ensuring reliable analytics, defining product vision, and collaborating across teams.

The Contract Senior Talent Acquisition Partner manages full-cycle recruiting for technical roles, focusing on AI, machine learning, and software engineering to ensure a quality candidate experience.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Lead the Performance ML squad, managing and mentoring engineers while driving the development, deployment, and strategy of predictive models for advertising.

As a Customer Success Manager, you will drive product adoption and retention for customers, build strong relationships, and deliver insights to enhance the customer experience by leveraging data.

The Senior Manager of Product Management leads the transfer pricing software portfolio, focusing on product strategy, customer outcomes, and cross-functional collaboration to enhance product effectiveness and customer retention.

Build identity verification and fraud-detection systems and correlation engines to analyze candidate signals (IPs, emails, phones, resume metadata). Create high-availability ingestion pipelines, real-time guardrails, and prototype 0->1 solutions. Collaborate with security, platform, and data teams, write technical designs, and participate in the SDLC.

The Azure AI/ML Engineer will design and implement AI solutions on Azure, focusing on automation, security, and compliance in collaboration with various teams.