Machine Learning Engineer
Madison, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Madison, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Milwaukee, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Milwaukee, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Green Bay, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Green Bay, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Kenosha, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Kenosha, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Racine, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Racine, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Menomonie, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Menomonie, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Whitewater, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Whitewater, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
WI · On-site
$120 - $180/hr
... deep learning and transformer architectures * 5+ years of experience researching and applying large language and generative AI models * Master's degree in data science or equivalent (preferred)
New
WI · On-site
$90 - $130/hr
Build and implement advanced algorithms including deep learning, NLP, and predictive analytics ... Research and stay updated with the latest advancements in AI, ML, and data science technologies
New
WI · On-site
$120 - $180/hr
You will dive deep into performance optimization, from model architecture and GPU execution to ... Working with talented research, infrastructure, and product teams, you will help push the ...
New
Marketing Intern
Middleton, WI · On-site
$15 - $20/hr
... research and day-to-day operations ... This position will contribute to both internal and external communications while learning how ...
Marketing Intern
Middleton, WI · On-site
$15 - $20/hr
... research and day-to-day operations ... This position will contribute to both internal and external communications while learning how ...
Marketing Intern
$15.50 - $20.50/hr
... research and day-to-day operations ... This position will contribute to both internal and external communications while learning how ...
Marketing Intern
$15.50 - $20.50/hr
... research and day-to-day operations ... This position will contribute to both internal and external communications while learning how ...
Pathways Intern: Research Assistant
Stevens Point, WI · On-site
$14/hr
Pathways Intern: Research Assistant Job Category: Student Hourly Job Profile: Student Help Job ... The university is committed to creating a safe, inclusive learning community for all faculty and ...
Pathways Intern: Research Assistant
Stevens Point, WI · On-site
$14/hr
Pathways Intern: Research Assistant Job Category: Student Hourly Job Profile: Student Help Job ... The university is committed to creating a safe, inclusive learning community for all faculty and ...
Pathways Intern: Research Assistant Job Category: Student Hourly Job Profile: Student Help Job ... The university is committed to creating a safe, inclusive learning community for all faculty and ...
Pathways Intern: Research Assistant Job Category: Student Hourly Job Profile: Student Help Job ... The university is committed to creating a safe, inclusive learning community for all faculty and ...
Deep Learning Research Intern information
See Wisconsin salary details
$8.42 - $10.13
1% of jobs
$10.13 - $11.84
3% of jobs
$11.84 - $13.55
5% of jobs
$15.24 is the 25th percentile. Wages below this are outliers.
$13.55 - $15.26
16% of jobs
The median wage is $16.65 / hr.
$15.26 - $16.98
31% of jobs
$16.98 - $18.69
19% of jobs
$18.73 is the 75th percentile. Wages above this are outliers.
$18.69 - $20.40
12% of jobs
$20.40 - $22.11
6% of jobs
$22.11 - $23.82
3% of jobs
$23.82 - $25.53
3% of jobs
$25.53 - $27.24
1% of jobs
$8
$17
$27
How much do deep learning research intern jobs pay per hour?
As of Aug 8, 2026, the average hourly pay for deep learning research intern in Wisconsin is $17.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a deep learning research intern?
To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.
What does a deep learning research intern do?
A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.
What are some common challenges faced by deep learning research interns, and how can they overcome them?
Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.
What are the most commonly searched types of Deep Learning Research jobs in Wisconsin? The most popular types of Deep Learning Research jobs in Wisconsin are:
What cities in Wisconsin are hiring for Deep Learning Research Intern jobs? Cities in Wisconsin with the most Deep Learning Research Intern job openings:
Full-time
Re-posted 21 days ago
Job description
About Us
We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.
We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.
What You'll Be Working On
You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.
Must-Have Skills
3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production
Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)
Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior
Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives
Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)
Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination