Top Senior Machine Learning Jobs in Madison, WI

Lead the full-cycle recruitment for the Machine Learning team, develop sourcing strategies, and improve hiring processes while ensuring a positive candidate experience.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.

The Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

Lead the development of EnergyHub's client-facing platform, manage cross-functional team collaboration, define product features, and ensure alignment with stakeholder goals.

The Senior Manager, Partner Marketing leads a team delivering B2C marketing services to utility clients, oversees marketing strategies, and develops client relationships while ensuring effective team management.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

As a Senior Machine Learning Engineer, you'll design and deploy ML models for real estate media while collaborating across teams to optimize solutions and improve user experience.

As an Associate Technical Architect in Machine Learning, you will design and develop advanced ML models on AWS, ensuring scalability and reliability while collaborating with cross-functional teams.

As a Senior Consultant II, you will integrate AI technologies into business applications, build scalable microservices, and deploy AI models in production environments.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Develop, evaluate, and deploy AI systems and machine learning models, focusing on NLP and multimodal models. Collaborate with teams and publish research.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.