Top Remote Machine Learning Jobs in Milwaukee, WI

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

Drive new enterprise customer acquisition and growth for Arize AI by prospecting, conducting discovery with AI/ML stakeholders, running POCs, and closing full-cycle SaaS deals. Build relationships, create sales plays, scope licensing, and collaborate internally to drive adoption and expansion.

As a Product Manager for Partnerships, you'll drive execution of partnerships by defining requirements, prioritizing tasks, and ensuring high-quality integration of partner-driven initiatives. You'll work across business development, engineering, and operations, managing multiple integrations effectively, and may require up to 30% travel for collaboration with partners and teams.

The Sales Development Representative will identify new business opportunities, qualify leads, and support sales strategies in the U.S. market, collaborating with sales and marketing teams to enhance lead generation and relationships.

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.

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.

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.

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

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.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

As a Senior Staff Data Scientist/Machine Learning Engineer, you will develop machine learning models to enhance Autodesk's eCommerce platforms, drive data-informed decisions, and mentor junior team members.

Partner with Membership to build data pipelines, ensure membership data quality, and develop predictive models (churn, retention, LTV). Design and analyze experiments, create dashboards, and collaborate with Marketing, Finance, and Product to optimize pricing, offers, and lifecycle programs.

Lead design and delivery of generative AI features end-to-end, prototype and productionize early-stage AI systems, set technical direction, mentor engineers, and collaborate with product and design to drive measurable product impact.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

Design, implement, and optimize scaled lifecycle campaigns across email and in-product channels to drive activation, revenue, retention, and cross-sell. Use marketing automation, behavioral data, and ML techniques to personalize experiences, analyze performance, and collaborate across growth, product, sales, and data teams.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead Financial Systems & Carrier Integration engineering teams, split time between hands-on technical work and people management. Drive architecture, delivery, AI/data initiatives, cross-functional collaboration, quality practices, HIPAA compliance, and production incident/RCA leadership.

Owner of client implementation and adoption for Sift's revenue cycle solutions. Build strong client relationships, deliver KPI-driven insights and ROI, coordinate cross-functional teams, surface product feedback, and apply healthcare revenue cycle expertise to drive operational improvements and client value.