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Internship Research Assistant Machine Learning Jobs in Milwaukee, WI

Bespoke Labs

Machine Learning Engineer

Milwaukee, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Kenosha, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Racine, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Internship Research Assistant Machine Learning information

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$6

$19

$30

How much do internship research assistant machine learning jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship research assistant machine learning in Milwaukee, WI is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $22.74 per hour, depending on experience, location, and employer.

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

What are popular job titles related to Internship Research Assistant Machine Learning jobs in Milwaukee, WI? For Internship Research Assistant Machine Learning jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Milwaukee, WI look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Internship Research Assistant Machine Learning jobs? Cities near Milwaukee, WI with the most Internship Research Assistant Machine Learning job openings:
Internship Research Assistant Machine Learning jobs near you

Machine Learning Engineer

Bespoke Labs

Milwaukee, WI • On-site

Full-time

Posted 10 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

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