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Research Federated Learning Jobs (NOW HIRING)

Apple

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 ...

New York University

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 ...

Source, Inc.

Lead Edge AI Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Working closely with our research, product, and infrastructure teams, you'll directly impact the ... Familiarity with distributed systems, federated learning, or privacy-preserving AI. * Understanding ...

Visa

Head of Generative AI Research

Foster City, CA · Hybrid

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

webAI Inc

AI Research Scientist

Austin, TX · On-site

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 ...

Visa

Head of Generative AI Research

Foster City, CA · Hybrid

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

Eli Lilly

Senior Software Engineer, TuneLab

San Francisco, CA · On-site

$144K - $190K/yr

... space, R&D capabilities, AI/ML tools, and decades of enterprise learning. Lilly TuneLab is an ... Federated learning is a meaningful part of the work - letting biotech customers use & train Lilly ...

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Productionize AI models from research prototypes into scalable, deployable systems used in real ... Experience with edge AI, federated learning, or offline inference systems. * Understanding of AI ...

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All JobsResearch Federated Learning Jobs

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 Jun 23, 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.
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Research Federated Learning jobs near you
AIML Privacy-Engineering Rotation

AIML Privacy-Engineering Rotation

Apple

Cupertino, CA • On-site

$124K - $159K/yr

Full-time

Posted 8 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate with a strong interest in privacy in practice to take on this unique role.
We are seeking an experienced engineer and privacy advocate to build privacy-preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple's industry leading privacy bar.Successful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.
Passion for customer privacy.Strong collaboration, communication, interpersonal, and organizational skills.Strong software engineering skills and ability to solve complex problems independently.Experience with differential privacy or private federated learning.BS in Computer Science, EE or equivalent experience.
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.Participation in public standards forums or academic publications in privacy and machine learning strongly preferred. Ability to analyze systems' architectures for privacy impact.Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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