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Machine Learning Researcher Jobs in Wisconsin (NOW HIRING)

Research Assistant will assist with user testing and user centered design of biometric technologies ... in machine learning and data science; advanced degrees may offset experience requirements ...

Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc * BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or ...

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

The position automates environments for advanced analytics, machine learning, and federated research capabilities while strictly maintaining compliance with HIPAA and institutional data security ...

... machine-learning-assisted computational protein design with deep analysis of antibody responses in ... Wistar is committed to accelerating research advances from bench to bedside through brilliant ...

Are you interested in applying machine learning or data mining on problems that truly improve ... Research, recommend, and implement statistical post process correction techniques using proprietary ...

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Machine Learning Researcher information

See Wisconsin salary details

$30.3K

$114.2K

$166K

How much do machine learning researcher jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning researcher in Wisconsin is $114,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $155,400.00 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, 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 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 Wisconsin? The most popular types of Machine Learning Researcher jobs in Wisconsin are:
What are popular job titles related to Machine Learning Researcher jobs in Wisconsin? For Machine Learning Researcher jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Machine Learning Researcher jobs? Cities in Wisconsin with the most Machine Learning Researcher job openings:
Infographic showing various Machine Learning Researcher job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $114,160 per year, or $54.9 per hour.
Postdoctoral Researcher

Postdoctoral Researcher

Medical College of Wisconsin

Milwaukee, WI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities


Job description

Summary

As aPostdoctoral Researcher,you will, according to the National Institute of Health (NIH) and the National Science Foundation (NSF), be an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution and thus are expected to have the freedom to publish the results of their scholarship.

The DREAM (Developing Resilience to Ease Anguish in Mourning) Lab, led by Dr. Joseph Goveas within the Department of Psychiatry and Behavioral Medicine at the Medical College of Wisconsin, is seeking aPostdoctoral Fellowto join our multidisciplinary neuroimaging research team. Our lab's mission is to uncover neurobiological biomarkers predictive of Prolonged Grief Disorder (PGD) onset and treatment response. With an extensive longitudinal dataset already collected, including multimodal MRI (e.g., resting-state connectivity, DTI, quantitative morphometry, task-induced BOLD activation, cerebral blood flow), along with detailed clinical and behavioral data, we are scaling up analytic efforts to answer fundamental questions about how grief unfolds over time-especially in older adults-and what differentiates resilient adaptation from PGD.

Current projects include developing predictive models of chronic grief outcomes in acutely grieving adults, characterizing the heterogeneity in grief trajectories, and investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD.

The Fellow will contribute to the development ofcomputational brain modelsof grief and resilience in older adults, participating in multiple projects that employ advanced functional magnetic resonance imaging (fMRI) techniques to investigate brain network mechanisms underlying diverse grief trajectories, including adaptive (resilient) responses and complications such as PGD. This position also offers a unique opportunity to work with rich, multimodal longitudinal datasets from both acutely and chronically grieving adults.

Primary Responsibilities
  • Transition to career independence through the development of professional skills that enable the postdoc to actively pursue a career of their own choosing.

  • Be supervised by at least one senior scholar who actively promotes the postdoc's professional development.

  • Establish an individual development plan (IDP) that incorporates equally the postdoc's career and training goals and the mentor's research goals.

  • Pursue basic, clinical, or translational projects so long as effort is focused primarily on research.

  • Publish results of the postdoc's research and scholarship during their appointment.

  • The postdoctoral appointment is temporary by nature, the aggregate amount of time spent as a postdoc is recommended to not exceed five years (not including family medical leave or maternity/paternity leave).

  • As postdocs are important members of the host institution's community, appropriate levels of compensation, health care, and other benefits commensurate with their essential status should be afforded, independent of the postdoc's source of funding.

  • Perform advanced computational analyses on longitudinal brain imaging and behavioral datasets.

  • Design, implement, and refine innovative neuroimaging data processing pipelines.

  • Report to the Principal Investigator and closely collaborate with multidisciplinary teams across the Center for Imaging Research, Neuroscience Center, and departments of Psychiatry, Biophysics, and Radiology.

  • Lead manuscript preparation and contribute to high-impact scientific publications.

  • Engage in regular meetings with the PI and research team to interpret findings and optimize methodologies.

  • Attend and present at scientific conferences.

Knowledge - Skills - Abilities
  • Programming:Proficiency in Python is required. Experience working in Linux environment and writing Bash scripts is also expected.

  • Neuroimaging Analysis:Programming and prior experience with neuroimaging data analysis is required.

  • Statistical Analysis:Solid foundation in statistical modeling and data analysis is required. Experience with longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable.

  • Software Proficiency:Experience with neuroimaging tools such as AFNI, SPM, FSL, Freesurfer, or similar is a plus.

  • Communication:Strong presentation skills with the ability to clearly communicate complex scientific concepts.

  • Scientific Literacy:Excellent English reading, writing, speaking, and comprehension skills in scientific contexts.

  • Research Output:Experience preparing scientific reports, abstracts, manuscripts, and grant submissions is preferred.

  • Problem Solving:Demonstrated ability in critical thinking and solving complex research problems.

  • Mentoring:An aptitude to mentor student and research assistants

Qualifications

Minimum Required Education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience).

Minimum Required Experience: Programming experience is required. Prior experience performing neuroimaging analysis is strongly preferred.

Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable.

Physical Requirements

Work requires occasionally lifting moderate weight materials, standing, or walking continuously.

Work Environment

Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.

Sensory Acuity

Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.

Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options

  • 403B Retirement Package

  • Competitive Vacation and Paid Holidays offered

  • Tuition Reimbursement

  • Paid Parental Leave

  • Employee & Family Assistance Program (EFAP)

  • Pet Insurance

  • On campus Fitness Facility, offering onsite classes

  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview

For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.


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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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