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Machine Learning Researcher Jobs in Wisconsin (NOW HIRING)

Usyd

$89.83K - $121.05K/yr

Working collaboratively, these two researchers will accelerate research in applied machine learning ... to ultimately identify the molecular biosignatures of patients with silent atherosclerosis, and the ...

New

Autodesk

... research, product, and business goals. You will be responsible for driving the evolution of the systems that enable machine learning across Autodesk, including training infrastructure, data platforms ...

DataAnnotation

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

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Machine Learning Researcher information

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$30.3K

$114.2K

$166K

How much do machine learning researcher jobs pay per year?

As of May 30, 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 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 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 job categories do people searching Machine Learning Researcher jobs in Wisconsin look for? The top searched job categories for Machine Learning Researcher jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Researcher jobs? Cities in Wisconsin with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Wisconsin as of May 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $114,160 per year, or $54.9 per hour.

AI / Machine Learning Junior / Senior / Lead

Catalyst Labs, LLC

Wausau, WI • On-site

Full-time

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

Job description

About the job AI / Machine Learning Junior / Senior / Lead About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows.

We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. This is a general / expression of interest, therefore by submitting your CV, you will be considered for upcoming roles with our clients. Locations: Most of our client base is concentrated in California, New York and a few scattered across other States and Europe.

Who Can Apply: We are looking for professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies and/or from top 100 universities in the world. Visa sponsorship is available for existing H1b transfers. Student visas will only be considered on the academic pedigree – top 50 global universities.

Experience: From early-career engineers to senior ICs, leads and principals. General Requirements by Role: Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team.

Solid understanding of ML fundamentals, including model development, optimization, and evaluation. Hands‐on experience with at least one major area of specialization: LLMs & Generative AI Computer Vision NLP / NLU Reinforcement Learning Recommendation Systems Time Series & Forecasting Applied Deep Learning Familiarity with modern ML engineering workflows: MLOps pipelines Model monitoring & observability Deployment to cloud or edge environments Vector databases & embeddings Retrieval‐augmented pipelines Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage. Professionals with experience in AI Safety , alignment , privacy-preserving ML , or security-focused ML are also welcome.

Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. Experience mentoring engineers, leading technical initiatives, or driving cross‐functional collaboration is valued. Candidates with a track record of publications, open-source contributions, patents, or shipped products demonstrating real-world impact will stand out.

Why Work With Us? Take advantage of the strong relationships we have built with Founders and CTOs. Work with recruiters who understand the difference between a fine‐tuned model and a foundation model and wont ask if you know Python.

We prioritize your confidentiality and privacy throughout the recruitment process. No Spamming. Support refining your resume or portfolio specifically for the roles we shortlist you for.

Direct communication channels. Bypass gatekeepers and speak directly with the actual hiring manager and decision-makers. Insight on compensation structures across geographies, including equity-heavy offers, research-focused roles, or hybrid IC/lead tracks.

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