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Machine Learning Researcher Jobs in Madison, WI (NOW HIRING)

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Amgen

Senior Data Scientist

Madison, WI · On-site

... we research, manufacture, and deliver innovative medicines to help people live longer, fuller ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Amgen, Inc.

Senior Data Scientist

Madison, WI · On-site +1

... we research, manufacture, and deliver innovative medicines to help people live longer, fuller ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

... researcher including data visualization, statistical analysis, machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of ...

AgSource

AI Engineer

Watertown, WI

Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Urus

AI Engineer

Watertown, WI · On-site

Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Farm Systems

AI Engineer

Watertown, WI · On-site

Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

AgSource

AI Engineer

Watertown, WI · On-site +1

Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

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Showing results 41-60

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Madison, WI

Machine Learning Researcher information

See Madison, WI salary details

$30.2K

$114K

$165.8K

How much do machine learning researcher jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning researcher in Madison, WI is $113,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $155,200.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Madison, WI? The most popular types of Machine Learning Researcher jobs in Madison, WI are:
What are popular job titles related to Machine Learning Researcher jobs in Madison, WI? For Machine Learning Researcher jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Madison, WI look for? The top searched job categories for Machine Learning Researcher jobs in Madison, WI are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $113,965 per year, or $54.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Madison, WI • On-site

Other

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply