Top Machine Learning Jobs in Milwaukee, WI

Develop and deploy AI-driven text-to-speech solutions, ensuring production reliability and optimizing performance, collaborating with engineers and researchers.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

The Senior Director of AI Solutions will lead the strategy and execution for AI and ML applications across Chainguard's go-to-market organization, focusing on revenue growth and operational efficiency through innovative AI solutions.

Lead technical design and implementation of AI solutions, integrating AI into GTM workflows and ensuring compliance with standards, while collaborating with various teams.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Business Development Senior Director will lead commercial efforts, build relationships with biopharma partners, and manage the full sales cycle for high-value deals.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

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.

The Senior Vice President of Underwriting will oversee underwriting outcomes across multiple lines, driving growth and improving loss ratios through data-driven strategies and leadership.

The Pre-Sales Solutions Engineer will advise customers on AI solutions, collaborate with sales to drive revenue, and deliver technical demonstrations to address complex challenges in the insurance industry.

This position involves developing and deploying AI and machine learning solutions, contributing to cross-functional projects, and mentoring junior staff, with a focus on healthcare and insurance applications.

The Lead AI & Machine Learning Engineer will develop and industrialize GenAI and machine learning solutions, lead projects, mentor junior members, and improve current ML models within a SaaS framework.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

Design and implement scalable machine learning pipelines, collaborate with cross-functional teams, ensure deployment standards, and champion best practices in observability and monitoring.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

Research Engineer will conduct Machine Learning research to enhance localization and global entertainment, focusing on ASR, Speaker Diarization, and Audio Understanding.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Senior Product Marketing Manager will develop strategies, create messaging frameworks, and produce marketing materials to effectively communicate Socure's value in the identity verification and fraud prevention market while collaborating with cross-functional teams.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.