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Junior Machine Learning Engineer Jobs in Madison, WI

Lead AI Platform Engineer

Madison, WI · On-site

$151K - $256K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Lead AI Platform Engineer

Madison, WI · On-site

$151K - $256K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This ...

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

New

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

Mentor and guide junior engineers, fostering their growth and enhancing the team's technical ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Mentor and guide junior engineers, fostering their growth and enhancing the team's technical ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

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Showing results 1-20

Junior Machine Learning Engineer information

See Madison, WI salary details

$33.8K

$72.4K

$110.4K

How much do junior machine learning engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for junior machine learning engineer in Madison, WI is $72,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $80,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Madison, WI? The most popular types of Machine Learning Engineer jobs in Madison, WI are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Madison, WI? For Junior Machine Learning Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Madison, WI look for? The top searched job categories for Junior Machine Learning Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Junior Machine Learning Engineer jobs? Cities near Madison, WI with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Madison, WI as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,358 per year, or $34.8 per hour.
Lead AI Platform Engineer

Lead AI Platform Engineer

Exact Sciences

Madison, WI • On-site

$151K - $256K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

21st of 105 rated laboratories


Job description

Help us change lives
At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.
Position Overview
The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.
Essential Duties
Include, but are not limited to, the following:
  • Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
  • Complete the development and deployment of AI models and algorithms to solve complex problems.
  • Stay updated on advancements in AI research and technology to guide initiatives.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Coach, support, and provide mentorship for team members.
  • Champion ethical AI practices and ensure compliance with regulatory standards.
  • Address issues related to data privacy, security, and biases in AI systems.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
  • Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
  • Demonstrated understanding of ethical considerations in AI systems.
  • 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
  • Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
  • Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications:
  • Experience designing and deploying Gen AI solutions at scale.
  • Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation
  • Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
  • Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

#LI-CB1
Salary Range:
National Ranges: $151,000- $256,000
California Ranges: $184,000.00- $276,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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