Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Racine, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Racine, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Milwaukee, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Milwaukee, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Menomonie, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Menomonie, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Whitewater, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Machine Learning Engineer
Whitewater, WI · On-site
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...
WI · On-site
$100 - $125/hr
Research and stay updated with the latest advancements in AI, ML, and data science technologies ... Develop APIs and services to expose machine learning functionalities to other applications
WI · On-site
$125 - $150/hr
Translate research into product -- drive the application of LLMs, Agentic AI, the modern NLP stack ... machine learning and software development at a tech or product company, with 4+ years leading ML ...
WI · On-site
$125 - $150/hr
Translate research into product -- drive the application of LLMs, Agentic AI, the modern NLP stack ... machine learning and software development at a tech or product company, with 4+ years leading ML ...
Postdoctoral Research Fellow
Madison, WI · On-site
$60 - $80/hr
University of Wisconsin-Madison - Postdoctoral Research Fellow Company Name University of Wisconsin ... Developing statistical and machine-learning methods for biomedical and omics data * Implementing ...
Postdoctoral Research Fellow
Madison, WI · On-site
$60 - $80/hr
University of Wisconsin-Madison - Postdoctoral Research Fellow Company Name University of Wisconsin ... Developing statistical and machine-learning methods for biomedical and omics data * Implementing ...
Responsibilities : • Research and evaluate emerging AI and ML technologies, advancing them ... Machine Learning. • +3 or more years of experience applying ML to physical-world engineering or ...
Responsibilities : • Research and evaluate emerging AI and ML technologies, advancing them ... Machine Learning. • +3 or more years of experience applying ML to physical-world engineering or ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will support the research, prototyping, and delivery of ML-driven capabilities that accelerate ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will support the research, prototyping, and delivery of ML-driven capabilities that accelerate ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will support the research, prototyping, and delivery of ML-driven capabilities that accelerate ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will support the research, prototyping, and delivery of ML-driven capabilities that accelerate ...
You will research, prototype, and deliver ML-driven capabilities that accelerate how we design and ... Machine Learning. * +3 or more years of experience applying ML to physical-world engineering or ...
You will research, prototype, and deliver ML-driven capabilities that accelerate how we design and ... Machine Learning. * +3 or more years of experience applying ML to physical-world engineering or ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will research, prototype, and deliver ML-driven capabilities that accelerate how we design and ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... You will research, prototype, and deliver ML-driven capabilities that accelerate how we design and ...
Research Assistant
Milwaukee, WI · On-site
$60 - $80/hr
The Human and Machine Learning (HaML) Lab in the Department of Psychological and Brain Sciences at the University of Wisconsin-Milwaukee is seeking a research assistant. Lab studies will examine how ...
Research Assistant
Milwaukee, WI · On-site
$60 - $80/hr
The Human and Machine Learning (HaML) Lab in the Department of Psychological and Brain Sciences at the University of Wisconsin-Milwaukee is seeking a research assistant. Lab studies will examine how ...
WI · On-site
$125 - $150/hr
The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research--preferably in ...
WI · On-site
$125 - $150/hr
The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research--preferably in ...
Machine Learning Research information
See Wisconsin salary details
$11.89 - $14.23
1% of jobs
$14.23 - $16.57
14% of jobs
$17.37 is the 25th percentile. Wages below this are outliers.
$16.57 - $18.90
29% of jobs
The median wage is $19.44 / hr.
$18.90 - $21.24
26% of jobs
$22.48 is the 75th percentile. Wages above this are outliers.
$21.24 - $23.58
10% of jobs
$23.58 - $25.92
6% of jobs
$25.92 - $28.26
5% of jobs
$28.26 - $30.59
4% of jobs
$30.59 - $32.93
2% of jobs
$32.93 - $35.27
1% of jobs
$35.27 - $37.61
1% of jobs
$11
$22
$37
How much do machine learning research jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for machine learning research in Wisconsin is $22.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.04 per hour, depending on experience, location, and employer.
What is machine learning research?
Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.
What are the key skills and qualifications needed to thrive as a machine learning researcher?
To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.
What are some common challenges faced by professionals in machine learning research and how can they be overcome?
One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.
What is the difference between Machine Learning Research vs Data Scientist?
| Aspect | Machine Learning Research | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees (Master's/PhD) in CS, ML, or related fields | Bachelor's or Master's in CS, Statistics, or related fields |
| Work Environment | Research labs, academia, R&D departments | Business environments, analytics teams, product development |
| Employer & Industry Usage | Tech companies, research institutions, universities | Tech, finance, healthcare, e-commerce, and more |
| Common Search & Comparison | Yes | Yes |
Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.
How to become a machine learning researcher?
To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.
Is machine learning research a high paying job?
Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.
What does a machine learning researcher do?
A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.
What cities in Wisconsin are hiring for Machine Learning Research jobs?
Cities in Wisconsin with the most Machine Learning Research job openings:
Machine Learning Engineer
Milwaukee, WI
Bespoke Labs
Full-time
Re-posted 23 days ago
Job description
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Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
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Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
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Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
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Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
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Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
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Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
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Implement methods from recent ML papers quickly and turn them into production-grade systems