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Research Machine Learning Federated Learning Jobs in Faribault, MN

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative. Ampact prohibits all forms of ...

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Research Machine Learning Federated Learning information

See Faribault, MN salary details

$26.2K

$43.7K

$90.3K

How much do research machine learning federated learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for research machine learning federated learning in Faribault, MN is $43,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,200.00 per year, depending on experience, location, and employer.

What is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

Early Learning Tutor - Lakeville YMCA Early Childhood Learning Center

Ampact

Lakeville, MN • On-site

Other

Re-posted 27 days ago


Job description

Position Summary
Ninety percent of a child's brain development happens before the age of 5, and we're on a mission to help our youngest learners start strong!
Join Early Learning Corps as an Early Learning Tutor and you'll spend your days in a pre-kindergarten classroom to help students build skills and confidence. We'll train you to deliver proven activities and coach you every step of the way!
How does it work? Partnering with a teacher, you'll help enhance learning. Whether talking, reading, writing, singing, or playing with students, you'll be helping them to build early literacy and math skills. With the extra attention and support, you'll make an incredible impact and help ignite a love of learning!
Want to learn more? Watch this 2-minute video and see what it's like to be a tutor. Or click here to view the position description.
Have questions? We'd love to hear from you! Contact us at 866-859-2825 or join@ampact.us.
Core Responsibilities
  • Be a caring adult who's focused on helping students thrive
  • Support preschoolers with learning activities thoughout the day
  • Track student progress and meet regularly with the school's on-site coach
  • Conduct skill assessments and enter student scores into tracking software
  • Commit to your own growth through coaching and training
  • Share your experience with community

Essential Qualifications
By the time you begin your services with Early Learning Corps, you should be:
  • Dependable and have a history of good attendance
  • Able to follow instructions and make improvements based on feedback
  • Proficient in basic computer skills (like email and navigating online)
  • Fluent in English for speaking, reading, and writing
  • 18 years of age or older with a high school diploma or equivalent
  • A citizen, national, or lawful permanent resident of the United States
  • Able to successfully complete a background check

Schedule
We are currently hiring for the 2026-27 school year. Positions run August 2026-June 2027.
  • 35 hours per week (less in weeks with holidays or school release days)
  • Daytime hours (correspond with school start and end times)
  • Monday - Friday (no weekends)
  • Time off on holidays and school release days

Part-time positions are also available at 25 hours per week!
Compensation & Perks Package
Full-time AmeriCorps members receive a paycheck (stipend) every two weeks. Please visit our careers page to learn more about our stipend amounts and education awards: https://join.readingandmath.org/ or click here to Learn more.
About our Organization
Early Learning Corps is powered by incredible AmeriCorps members who serve as tutors. Started in 2003, Early Learning Corps has helped more than 128,000 children build early literacy and numeracy skills and get ready for kindergarten! Early Learning Corps is administered by Ampact, a nonprofit organization, and fueled by research from ServeMinnesota's National Science + Service Collaborative.
Ampact prohibits all forms of discrimination and harassment based on race, color, national origin, sex, age (40 and over), religion, sexual orientation, disability (mental or physical), political affiliation, marital or parental status, pregnancy, reprisal, genetic information (including family medical history), military service, or any other category protected by law. Reasonable accommodation available upon request. This document is available in alternative formats.