1

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

Machine Operator I | Application

Madison, WI ยท On-site

$17.25 - $21/hr

Advanced Assembly, Inc. (AAI), located in University Research Park on the west side of Madison, is ... If you have an interest in working in a high-tech manufacturing environment, while learning ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

... Research and Development * Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software. * Utilize genomic data and/or machine learning to ...

Data Scientist II

Madison, WI ยท On-site +1

$80K/yr

... researcher including data visualization, statistical analysis, machine learning, and data mining * Organizes and automates project steps for data preparation and analysis * Prepares data sets for ...

... and researchers access to the data they need to take care of their patients and improve health ... Our team of data scientists, machine learning engineers, revenue cycle professionals, and certified ...

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+ ...

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+ ...

next page

Showing results 1-20

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 May 31, 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 the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

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 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 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 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 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 Operator I | Application

Machine Operator I | Application

Ultratec

Madison, WI โ€ข On-site

$17.25 - $21/hr

Full-time

Posted 19 days ago


Job description

Advanced Assembly, Inc. (AAI), located in University Research Park on the west side of Madison, is looking to add a Machine Operator to our well-trained and experienced staff. Advanced Assembly, Inc. is an electronics manufacturing services provider of electronic assemblies and products, including the Captioned Telephone (CapTel). Our exceptional reputation has been earned through the years, based on production capability, reliability, and quality.
This full time position offers a first shift schedule of Monday - Thursday 5:30 AM - 3:00 PM and Friday 5:30 AM - 9:30 AM, a competitive starting wage and a full benefits package. Wage depending on experience. Absent undue hardship, Advanced Assembly will make reasonable accommodations for religious beliefs and individuals with disabilities.
New Employees - Sign-On Bonus: The company is offering a $1,500 sign-on bonus to newly-hired, full-time employees. The bonus will be paid on the first check following successful completion of the employee's 90-day probationary period.
Advanced Assembly offers a diverse, friendly, and casual work environment. We have a proven track record of stability, growth, and providing advancement opportunities. If you have an interest in working in a high-tech manufacturing environment, while learning, developing, and advancing your career in a skilled trade, we highly recommend you apply!

Job Summary: Machine Operators are responsible for everyday machine operation of the Surface Mount (SMT), Coating, Wave or Automated Optical Inspection (AOI) equipment. This is an entry-level Machine Operator position.
Essential Functions: To perform this job successfully, an individual must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Follow directions, read from, and interpret written instructions.
  • Make sound judgments while operating production equipment.
  • Organize responsibilities to achieve maximum output to meet production and quality requirements.
  • Understand and follow all applicable quality system procedures and perform all assigned responsibilities outlined in the quality system.
  • Keep work areas neat and organized.
  • Follow established product handling procedures consistently.
  • Setup, run and tear down jobs on each of the production lines.
  • Operate the SMT line, Wave, coating or AOI equipment.
  • Provide general assistance to the workflow when and where needed.
  • Perform daily cleaning of machine as needed.
  • Follow the daily checklist.
  • Communicate with the Automation Technicians, Supervisor, or Team Leads on quality issues.
  • Verify parts on the line.
  • Assist Automation Technicians as needed.
  • Perform other job-related duties as assigned by primary supervisor.

Supervisory Responsibilities: No direct reports.
Other Duties: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.
Requirements: The requirements listed below are representative of the knowledge, skills and/or abilities required.
  • High School Diploma/GED equivalent preferred.
  • Ability to read, speak, and understand both verbal and written instructions in the English language.
  • Knowledge of SMT, Wave, AOI or coating equipment preferred but not required.
  • Intermediate computer skills including Microsoft Excel and Word.
  • Good verbal and written skills to communicate well in a diverse team environment.
  • Ability to fill out daily records and logs.
  • Ability to distinguish colors, fine circuit detail, and tones.

Physical Demands and Work Environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Physical Demands: While performing the duties of this job, the employee is regularly required to sit, hear and talk; use hands to finger, handle or feel objects, tools, or controls; reach with hands and arms. Specific vision abilities required by the job include close vision, depth perception and the ability to adjust focus.
    • Ability to stand in one area for long periods of time, with minimal breaks.
    • Physical ability to move freely and have sufficient reflexes to perform the same tasks repeatedly using hands to complete the task at a constant rate so the assembly line will not be interrupted.
    • Hand-eye coordination is necessary to work with small electronic parts.
    • Ability to lift up to 40 lbs. on a regular basis.
  • Work Environment: While performing the duties of this job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually moderate.

General Sign-Off: The employee is expected to adhere to all company policies and to act as a role model in the adherence of company policies.
All qualified applicants will receive considerations for employment without regard to sex, race, color, national origin or ancestry, age, disability, marital status, veteran status, student status, physical appearance, sexual orientation, political beliefs, religion, genetic information, gender identity, a less than honorable discharge from the military, and any other status protected by federal, state or local law and regulations.