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Machine Learning Jobs in Wausau, WI (NOW HIRING)

Apogee

Machine Operator

Wausau, WI

$19.50/hr

Apogee Architectural Metals Machine Operator $19.50/hr. | Days or Nights | 2-2-3 Schedule $2.00 ... If you enjoy hands-on work, learning new skills, and being part of a team, this is a great ...

Apogee Enterprises, Inc.

Machine Operator

Wausau, WI · On-site

$19.50/hr

Apogee Architectural Metals Machine Operator $19.50/hr. | Days or Nights | 2-2-3 Schedule $2.00 ... If you enjoy hands-on work, learning new skills, and being part of a team, this is a great ...

Lactalis LAG

Packaging Machine Operator

Merrill, WI · On-site

$23.75/hr

From your PASSION to ours Machine Operators are responsible for operating packaging filling ... learning various equipment. Lactalis offers competitive pay, benefits and paid time off. Hours: A ...

DataAnnotation

Node.js Developer - AI Trainer

Wausau, WI · On-site +1

$60/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front‐end, back‐end, full‐stack, machine learning, and other ...

DataAnnotation

Backend Developer - AI Trainer

Wausau, WI · On-site +1

$60/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front‐end, back‐end, full‐stack, machine learning, and other ...

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Machine Learning information

See Wausau, WI salary details

$27.3K

$45.6K

$94.3K

How much do machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning in Wausau, WI is $45,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,800.00 and $49,300.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
More about Machine Learning jobs
What cities near Wausau, WI are hiring for Machine Learning jobs? Cities near Wausau, WI with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Wausau, WI as of May 2026, with employment types broken down into 41% Full Time, 57% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $45,643 per year, or $21.9 per hour.

AI / Machine Learning Junior / Senior / Lead

Catalyst Labs, LLC

Wausau, WI

Full-time

Posted 18 days ago

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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