Top Remote Machine Learning Jobs in Milwaukee, WI

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

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

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.

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

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 an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

The Senior Machine Learning Operations Engineer will build and operationalize the ML Ops platform to deploy and monitor machine learning models, focusing on infrastructure, automation, and integrating ML workloads within the AWS-native architecture.

Lead development of cutting-edge Machine Learning models and infrastructure for search and recommendations at Airbnb. Collaborate with cross-functional teams on impactful projects using large-scale data.

Lead the development of end-to-end machine learning models for search and recommendation systems, collaborating with cross-functional teams at Airbnb.

The role involves developing physics simulators for AI, focusing on first-principles models of thermofluid and electrical systems, generating synthetic datasets, and collaborating with ML engineers.

As a Senior Software Engineer, you will manage customer deployments of AI integration, making architectural decisions and ensuring effective solutions.

Senior Software Engineer role focused on building AI capabilities for an engineering AGI product. Collaborate with a team to integrate cutting-edge machine learning into real-world engineering systems and shape product design.

As a Senior Backend Engineer, you will design and develop software solutions for identity verification, mentor junior engineers, and ensure system scalability, security, and high performance.

Lead the implementation of generative AI and machine learning solutions, focusing on architecture, governance, and collaboration with teams to ensure compliance with AI standards.

Responsible for building and maintaining end-to-end ML pipelines and deploying production-grade ML systems. Tasks include model fine-tuning, evaluation, and collaboration with engineering teams.

The VP of Research, Machine Learning will set research direction for AI systems, focusing on context representation, reasoning, and evaluation frameworks while ensuring product safety and alignment.

The Senior Account Executive is responsible for acquiring new enterprise customers, managing the sales cycle, and negotiating contracts to eliminate identity fraud while driving revenue and market share growth for Jumio.

As a Senior Product Manager, you will lead the development of tools for financial advisors, focusing on product execution, advisor-centric development, and integrating AI into workflows while mentoring junior team members.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

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.

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