Top Machine Learning Jobs in Lincoln, NE

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Head of Disputes & AI Operations will lead Casap's dispute strategy, leverage AI to optimize processes, and ensure customer success while overseeing a high-impact team.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Design, build, and own automation systems that enhance Valimail's go-to-market strategies. Collaborate cross-functionally to implement data-driven workflows and improve revenue outcomes.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

Lead AI development at Bloomerang, overseeing product strategy, managing teams, ensuring ethical AI practices, and integrating innovative AI solutions for nonprofits.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

The Principal Solutions Architect will analyze environments, design solutions, guide IT projects, and ensure technical and functional alignment with business requirements, focusing on the Department of Veteran Affairs.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

Manage client relationships and energy market participation, ensuring program delivery, stakeholder engagement, and compliance with funding requirements. Foster client success through communication and expertise in energy solutions.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Engineering Program Manager will oversee project timelines, manage dependencies, ensure on-time delivery, and communicate effectively across teams to support enterprise-grade software and AI solutions.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.