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

Senior Data Scientist

Madison, WI · On-site

$125 - $150/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

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 ...

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 ...

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 ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... machine learning, and data mining * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Department:

Data Scientist II

Madison, WI · On-site

$80 - $100/hr

... machine learning, and data mining * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Department:

... machine learning or predictive modeling. * Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications, conference presentations, or technical research reports.

... machine learning or predictive modeling. * Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications, conference presentations, or technical research reports.

... machine learning or predictive modeling. * Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications, conference presentations, or technical research reports.

Showing results 41-60

Machine Learning Research information

See Madison, WI salary details

$11

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$37

How much do machine learning research jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning research in Madison, WI is $22.39, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $23.99 per hour, depending on experience, location, and employer.

What is machine learning research?

Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.

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

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.

What are some common challenges faced by professionals in machine learning research and how can they be overcome?

One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.

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

AspectMachine Learning ResearchData Scientist
Required CredentialsAdvanced degrees (Master's/PhD) in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech, finance, healthcare, e-commerce, and more
Common Search & ComparisonYesYes

Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.

Is machine learning research a high paying job?

Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.
Infographic showing various Machine Learning Research job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,574 per year, or $22.4 per hour.

Senior Data Scientist

Madison, WI • On-site

Elephas
Biotechnology Research and Development • 51 - 200 employees

$125 - $150/hr

Other

Medical, Life, Retirement, PTO

Posted 28 days ago


Job description

Summary

Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.

Essential Duties and Responsibilities
  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.
Education/Experience/Skills
  • Master’s (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.

DISCLAIMER

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020