Top Remote Machine Learning Jobs in Madison, WI

Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems. Collaborates with Data Scientists and Product Managers to enhance user experiences and provide valuable input into functional design. Preferred experience in using machine learning for recommendations and personalization.

As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.

Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.

This role involves driving the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimizing ML and system pipelines, improving data pipelines, defining metrics for evaluation, and closing gaps in tooling for accelerated engineering velocity within Simulation.

As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.

A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.