Top Machine Learning Jobs in Madison, WI

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

The VP of Communications will develop and execute Moloco's global communications strategy, engaging with stakeholders and managing both internal and external messaging.

The Analyst Relations Specialist will handle outreach to industry analysts, coordinate participation in evaluations, and develop messaging, leveraging AI tools to synthesize data and automate tasks.

This role involves designing AI agents, building robust infrastructure, and translating customer insights into technical requirements while working with reinforcement learning and applied data.

Design and build production-grade AI systems, combining ML and LLMs, ensuring performance and reliability while providing technical leadership and mentorship.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

The Sales Engineer will drive revenue by crafting cloud data security solutions, managing demos, and consulting with stakeholders while utilizing Cyera's technology.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

The Senior Product Manager will lead product development for AI and fashion design tools, collaborating with engineers and designers to enhance user experience and drive product strategy.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The Principal of Payer Strategic Consulting will drive consulting sales with healthcare payers, managing multi-million-dollar quotas, leading teams, and enhancing client relationships to deliver optimized consulting solutions and business growth.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

The role involves executing Paid Media strategies, consulting clients, managing campaigns, and utilizing data insights for business growth. Strong communication and relationship-building skills are necessary.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

The Principal Software Development Engineer will lead technical projects within the Rich Media group, focusing on scalable solutions and mentoring engineers, to enhance the real estate buying experience using AI and computer vision.

The Senior Director of Product Growth shapes new product planning, monetization, and go-to-market execution while accelerating revenue and leading customer-centric initiatives across product lines.

Lead a team of Partner Solution Engineers to drive technical wins and implement solutions for strategic System Integrator partners, focusing on architecture and business value.

The Data Science Sr. Product Manager leads the machine learning and AI team, managing project roadmaps and data analytics for improved claims management.

The Technology Development Program offers participants hands-on experience in Data Science and Data Analytics Engineering through rotations, skill development, and mentorship leading to a full-time role.

Design and build a multi-agent architecture using LLMs for threat detection. Collaborate with teams to enhance email security products while ensuring high quality and low latency solutions.

The Assistant Modeling Manager develops and enhances auto insurance rating plans, applying advanced modeling techniques and collaborating with data scientists to provide insights and ensure compliance with regulations.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.