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Embedded Machine Learning Internship Jobs in Wisconsin

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$112.50K - $135.10K/yr

Makes use of machine learning tools to select features, create and optimize data classifiers ... Provides guidance and best practice advice to data science interns Qualifications * Bachelor ...

New

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77.50K - $108.50K/yr

Makes use of machine learning tools to select features, create and optimize data classifiers ... Provides guidance and best practice advice to data science interns * Bachelor's Degree required;

New

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77.50K - $108.50K/yr

Makes use of machine learning tools to select features, create and optimize data classifiers ... Provides guidance and best practice advice to data science interns Qualifications * Bachelor ...

Milwaukee Tool

Electrical Engineer II

Brookfield, WI

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Milwaukee Tool

Electrical Engineer II

Brookfield, WI · On-site

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Milwaukee Tool

Electrical Engineer II

Brookfield, WI

And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to own ...

Milwaukee Tool

Firmware Engineer II

Brookfield, WI · On-site

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Milwaukee Tool

Firmware Engineer II

Brookfield, WI

And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to own ...

The Home Depot

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

You'll be embedded on our Lean Initiative team, working alongside senior data scientists and ... Build, train, and evaluate machine learning models that support business decisions and product ...

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Embedded Machine Learning Internship information

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.
What are the most commonly searched types of Embedded Machine Learning jobs in Wisconsin? The most popular types of Embedded Machine Learning jobs in Wisconsin are:
What are popular job titles related to Embedded Machine Learning Internship jobs in Wisconsin? For Embedded Machine Learning Internship jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Internship jobs in Wisconsin look for? The top searched job categories for Embedded Machine Learning Internship jobs in Wisconsin are:
What cities in Wisconsin are hiring for Embedded Machine Learning Internship jobs? Cities in Wisconsin with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Wisconsin as of May 2026, with employment types broken down into 41% Full Time, 52% Part Time, 2% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Data Science & GenAI Research Intern - IGEN

Data Science & GenAI Research Intern - IGEN

Us Venture

Appleton, WI • On-site

Full-time

Posted 15 days ago

U.S. Venture rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

166th of 333 rated retail wholesalers

Job description

POSITION SUMMARYJoin the Insight Engineering team for Summer 2026, starting May 2026. This internship is dedicated to applied research and development in data science and Generative AI - with a particular focus on agentic systems that reason over enterprise data.
You will work alongside the foundation team that is standing up our Snowflake-anchored data platform, semantic layer, and KPI certification discipline. Your role is the R&D wedge: prototyping the AI capabilities that will eventually be embedded into IGEN products and shared as certified, governed insight with clients and partners.
This is not a ticket-queue internship. You will own experiments end to end - framing the question, building the prototype, evaluating it honestly, and writing up what you learned so the team can decide what to productize.
This internship will be located onsite at our Corporate Headquarters [222 W College Avenue, Appleton, WI 54911]. This intern will sit inside the Insight Engineering squad alongside the Sr. Data Engineer and BI Engineer, and will partner with product squads where R&D output intersects their roadmap.JOB RESPONSIBILITIES

WhatYou'llWork On

Project scope is set at the start of the internship based on team priorities and your strengths, but representative R&D tracks include:

GenAI Agentic Systems

  • Prototype agentsthat answer business questions by reasoning over certified KPIs, semantic models, and operational data - not by guessing.

  • Build retrieval-augmented pipelinesover structured warehouse data and unstructured documents (regulatory content, internal documentation, ticket history).

  • Explore tool-use patternswhere an LLM orchestrates SQL generation, validation against the semantic layer, and result interpretation - with governance and lineage preserved.

  • Evaluate model behavior rigorously- accuracy, hallucination rates, latency, cost - and document trade-offs.

Data Science & Applied ML

  • Develop and test modelsagainst governed datasets in Snowflake - forecasting, classification, anomaly detection, or entity resolution depending on the active research question.

  • Engineer featuresthat could land in a future feature store, with attention to lineage, reproducibility, and certified inputs.

  • Run experimentsusing Snowflake Cortex AI (native LLM and ML functions in SQL), Python notebooks, and otherappropriate tooling.

Research Communication

  • Write up findingsin a way the engineering team, product partners, and SLT can consume - what was tried, what worked, whatdidn't, and what to do next.

  • Demo prototypesto the Insight Engineering team and contribute to the decision of whether a capability is ready to move from R&D into the platform roadmap.

WhatYou'llLearn

  • How a real data platform gets built: ingest, normalization, semantic layer, certification, governance - not just the demo version.

  • How GenAI capabilities are evaluated and made production-credible in an enterprise context where hallucination is not an acceptable failure mode.

  • How insight engineering treats AI as a deliverable that must be owned, named, dated, and versioned - the same discipline as code.

  • How research output becomes product input: the path from prototype to roadmap to revenue.

Why This Internship

Most data internships ask you to fix dashboards or clean a backlog. This one asks you to figure out something the team doesn't yet know how to do - then teach us what you learned. The work you do this summer will directly inform which AI capabilities IGEN builds into the platform, into our products, and eventually into a productized data and insights revenue stream.

If you want to leave an internship with shipped prototypes, real evaluation data, and a written record of research that influenced a roadmap - this is the role.

QUALIFICATIONS

What You Need for This Position

  • Pursuing a degree in Computer Science, Data Science, Statistics, Applied Math, Machine Learning, or a related quantitative field.

  • Working proficiency in Python, including common data and ML libraries (pandas, scikit-learn, NumPy).

  • Basic SQL fluency - you can write queries, read execution plans casually, and understand joins, aggregations, and CTEs.

  • Exposure to LLMs or GenAI tooling - coursework, side projects, or hands-on use of APIs (OpenAI, Anthropic, open-weight models, LangChain/LlamaIndex, or equivalents). You do not need production experience; you need genuine curiosity and a portfolio of attempts.

  • Comfort with ambiguity. R&D problems are not specced like feature tickets. You will need to scope your own work, decide when an experiment is done, and communicate trade-offs clearly.

  • Strong written communication. Findings the team can't read are findings the team can't use.

Bonus Points

  • Hands-on experience with agentic frameworks (tool use, function calling, multi-step reasoning, ReAct-style loops).

  • Familiarity with retrieval-augmented generation (RAG), vector databases, embeddings, and evaluation methods for LLM outputs.

  • Exposure to Snowflake, dbt, or modern data warehouse tooling - Cortex AI experience is a clear plus.

  • Experience with Power BI or other BI/visualization tools.

  • MLOps awareness - experiment tracking (MLflow, Weights & Biases), model evaluation harnesses, reproducibility practices.

  • A public artifact - GitHub repo, blog post, paper, hackathon submission - that shows how you think when you build something.





DIVISION:

IGEN



U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employmentbased nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a fulltime basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.

U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.

U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.



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