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Research Federated Learning Jobs (NOW HIRING)

$15/hr

... federated learning. Requirements, qualifications, and/or competencies: * Understanding of ... research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... AI models from research prototypes into scalable, deployable systems used in real world ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Conducting advanced research in machine learning and data analytics for power system operation and ... Federated learning * Multimodal machine learning * Large language models * Power system ...

AIML Privacy - Engineering Rotation

Cupertino, CA · On-site

$124K - $159K/yr

Experience with differential privacy or private federated learning. BS in Computer Science, EE or ... Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ...

Advance privacy-preserving GenAI techniques including federated learning, differential privacy, and ... Publish research findings in top-tier AI/ML publications * Present at academic conferences ...

The AI Research Scientist will contribute to webAI's development of next-generation AI models and ... Familiarity with privacy-preserving ML techniques such as federated learning * Experience ...

Advance privacy-preserving GenAI techniques including federated learning, differential privacy, and ... Publish research findings in top-tier AI/ML publications * Present at academic conferences ...

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Research Federated Learning information

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$2.4K

$5.3K

$7.7K

How much do research federated learning jobs pay per month?

As of Jul 14, 2026, the average monthly pay for research federated learning in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

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

AspectResearch Federated LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm developmentBusiness environments, analytics teams; focus on data analysis and insights
Industry UsageAI research, privacy-preserving ML, distributed systemsBusiness intelligence, marketing, finance, healthcare

Research Federated Learning involves developing privacy-focused, distributed machine learning algorithms, often in research or specialized tech settings. Data Scientists analyze data to generate insights and support decision-making in various industries. While both roles require strong analytical skills, Research Federated Learning emphasizes algorithm development and privacy, whereas Data Scientists focus on data analysis and reporting.

What are the key skills and qualifications needed to thrive as a Researcher in Federated Learning, and why are they important?

To thrive as a Researcher in Federated Learning, you need a strong background in machine learning, distributed systems, and statistics, typically supported by an advanced degree in computer science or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow Federated, and experience with privacy-preserving algorithms are essential. Critical thinking, collaboration, and effective communication are key soft skills for designing experiments and sharing findings with peers. These competencies are vital for advancing privacy-aware AI solutions and producing impactful research in this rapidly evolving domain.

What is a Researcher in Federated Learning?

A Researcher in Federated Learning is a professional who studies, develops, and improves federated learning algorithms and systems. Federated learning is a machine learning approach where data remains decentralized, allowing multiple devices or organizations to collaboratively train models without sharing raw data. These researchers focus on advancing privacy, efficiency, and performance in distributed AI systems. Their work often involves experimenting with new methods, publishing findings, and contributing to the growing field of privacy-preserving machine learning.

What are some common challenges faced by professionals working in Research Federated Learning, and how can they be addressed?

Professionals in Research Federated Learning often encounter challenges such as ensuring data privacy across distributed devices, managing non-iid (non-independent and identically distributed) data, and optimizing communication efficiency between clients and servers. Addressing these issues requires strong collaboration with cross-functional teams, including data engineers, security experts, and software developers, to develop robust protocols and algorithms. Staying updated with the latest research and participating in open-source collaborations can also help overcome technical hurdles and drive innovation in this rapidly evolving field.
More about Research Federated Learning jobs
What cities are hiring for Research Federated Learning jobs? Cities with the most Research Federated Learning job openings:
What states have the most Research Federated Learning jobs? States with the most job openings for Research Federated Learning jobs include:
What job categories do people searching Research Federated Learning jobs look for? The top searched job categories for Research Federated Learning jobs are:
Infographic showing various Research Federated Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 17% Internship, 58% As Needed, 12% Full Time, 10% Nights, and 2% Summer. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.
Part-time Research Support-Yan Li group

Part-time Research Support-Yan Li group

The Pennsylvania State University

On-site, Remote

$15/hr

Part-time

Posted 9 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The department of Electrical Engineering is seeking applicants for part-time research support.

Job duties to include:

  • develop modeling and optimization methods for microgrids.
  • evelop quantum method for RLC circuit simulation, optimization and federated learning.

Requirements, qualifications, and/or competencies:

  • Understanding of Microgrids and RLC circuits

Schedule:

  • 40 hours per week from June 2026-July 31, 2026

Compensation:

The starting rate for this job is $15.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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