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Machine Learning Research Intern Jobs in Minnesota

Bespoke Labs

Machine Learning Engineer

Saint Cloud, MN · 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 ...

Douglas

Intern - Machine Shop

Alexandria, MN

The Machine Tool internship allows students currently enrolled in Machine Tool Technology an opportunity to gain hands on experience working as a machinist while attending school. The position will ...

New

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Mercy

Ada - Sonography Intern - PRN

Anoka, MN · On-site

This position provides hands-on training and exposure to diagnostic imaging techniques, with a focus on learning the practical and theoretical aspects of ultrasound technology. The intern will assist ...

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... researchers, software engineers, systems teams, and field operators to translate mission ...

Autodesk

$106K - $138K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

Thomson Reuters

Research Engineer

Eagan, MN · On-site

We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in ... Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques ...

Thomson Reuters U.S. Inc.

Research Engineer

Eagan, MN · On-site

We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in ... Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques ...

New

THOMSON REUTERS

Research Engineer

Eagan, MN · Hybrid

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...

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Machine Learning Research Intern information

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How much do machine learning research intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning research intern in Minnesota is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $26.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are popular job titles related to Machine Learning Research Intern jobs in Minnesota?

For Machine Learning Research Intern jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Minnesota look for?

The top searched job categories for Machine Learning Research Intern jobs in Minnesota are:

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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,805 per year, or $23 per hour.

Machine Learning Engineer

Bespoke Labs

Saint Cloud, MN • On-site

Full-time

Re-posted 2 hours 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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