1

Federated Learning Jobs (NOW HIRING)

AIML Privacy-Engineering Rotation

Cupertino, CA · On-site

$124.60K - $159.20K/yr

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 ...

The position involves conducting research in federated learning, and network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr.

Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. * Measure and strengthen ...

Lead Edge AI Engineer

San Francisco, CA · On-site

$120.80K - $159.10K/yr

You'll design the systems that let developers deploy, orchestrate, and verify AI models across edge environments -- from federated learning and on-device inference to adaptive compute pipelines ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

Experience with edge AI, federated learning, or offline inference systems. * Understanding of AI governance and compliance frameworks relevant to public sector deployments. * Experience integrating ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

Experience with edge AI, federated learning, or offline inference systems. * Understanding of AI governance and compliance frameworks relevant to public sector deployments. * Experience integrating ...

Experience in federated learning, distributed training, or privacy-preserving ML is considered a strong advantage. * Prior exposure to regulated, enterprise, pharmaceutical, or biotech environments ...

... federated learning • Experience contributing to academic publications, patents, or open-source ML projects • Comfort operating in a fast-paced, high-growth startup environment Company : The ...

... federated learning, or other privacy-preserving ML techniquesBackground in threat modeling and security architecture designFamiliarity with accessibility considerations in AI/ML systems

Senior Machine Learning Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

Experience with edge AI, federated learning, or offline inference systems. * Understanding of AI governance and compliance frameworks relevant to public sector deployments. * Experience integrating ...

Academic Collaboration

Sydney, FL · On-site

$88.30K - $112.50K/yr

Background in distributed ML, model parallelism, federated learning, or related areas. * Publication Track Record: Demonstrated ability to publish in peer-reviewed venues. * Collaborative Mindset:

... federated learning • Experience contributing to academic publications, patents, or open-source ML projects • Comfort operating in a fast-paced, high-growth startup environment Company : The ...

next page

Showing results 1-20

Federated Learning information

See salary details

$13

$32

$56

How much do federated learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for federated learning in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Federated Learning vs Data Scientist?

AspectFederated LearningData Scientist
Required CredentialsKnowledge of machine learning, distributed systems, programming (Python, TensorFlow)Degree in Data Science, Statistics, Computer Science; often requires certifications
Work EnvironmentCollaborates with multiple organizations, focuses on privacy-preserving MLAnalyzes data within organizations, builds models, reports insights
Industry UsageTech companies, healthcare, finance for privacy-focused MLWide across industries for data analysis and decision-making

Federated Learning and Data Scientists both work with machine learning, but Federated Learning emphasizes privacy-preserving distributed training across multiple devices or organizations, while Data Scientists focus on analyzing data and building models within a single organization. Their skills overlap in ML knowledge, but their work environments and applications differ significantly.

What cities are hiring for Federated Learning jobs? Cities with the most Federated Learning job openings:
Infographic showing various Federated Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 1% Full Time, and 95% Part Time. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
AIML Privacy-Engineering Rotation

AIML Privacy-Engineering Rotation

Apple

Cupertino, CA • On-site

$124.60K - $159.20K/yr

Full-time

Posted 18 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 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


Apple logo

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