... federated learning, or physics-based modeling, and agentic AI systems * Collaborate with ... research insights into scalable production solutions.
... federated learning, or physics-based modeling, and agentic AI systems * Collaborate with ... research insights into scalable production solutions.
... federated learning, or physics-based modeling, and agentic AI systems * Collaborate with ... research insights into scalable production solutions.
... federated learning, or physics-based modeling, and agentic AI systems * Collaborate with ... research insights into scalable production solutions.
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 ...
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 ...
Senior AI/ML Research Engineer with Security Clearance
Florham Park, NJ · On-site
$109K - $150K/yr
Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and ...
Senior AI/ML Research Engineer with Security Clearance
Florham Park, NJ · On-site
$109K - $150K/yr
Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and ...
Interest in early research and development through to product roll-out in the fields of surgical AI ... Experience within healthcare * Experience with federated learning Additional Information Due to the ...
Interest in early research and development through to product roll-out in the fields of surgical AI ... Experience within healthcare * Experience with federated learning Additional Information Due to the ...
Technical Intern
$40/hr
... Learning - Federated Learning / Differential Privacy - Red Teaming - ML Ops - LLM Ops ... publish research and attend conferences - A supportive and enriching environment to foster ...
Technical Intern
$40/hr
... Learning - Federated Learning / Differential Privacy - Red Teaming - ML Ops - LLM Ops ... publish research and attend conferences - A supportive and enriching environment to foster ...
... GenAI researchers, algorithm leads, and clinical experts. Preferred Qualifications MS/PhD in ... Federated Learning) Background in AI Safety, model interpretability, or adversarial testing ...
... GenAI researchers, algorithm leads, and clinical experts. Preferred Qualifications MS/PhD in ... Federated Learning) Background in AI Safety, model interpretability, or adversarial testing ...
... from research prototypes into scalable, deployable systems used in real world applications ... Preferred Skills: -Experience with edge AI, federated learning, or offline inference systems ...
... from research prototypes into scalable, deployable systems used in real world applications ... Preferred Skills: -Experience with edge AI, federated learning, or offline inference systems ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... research into reliable, measurable improvements for members. This role is ideal for someone who ... Experience with privacy-preserving approaches (on-device/federated learning, differential privacy ...
Quick apply
... research into reliable, measurable improvements for members. This role is ideal for someone who ... Experience with privacy-preserving approaches (on-device/federated learning, differential privacy ...
... space, R&D capabilities, AI/ML tools, and decades of enterprise learning. Lilly TuneLab is an ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... space, R&D capabilities, AI/ML tools, and decades of enterprise learning. Lilly TuneLab is an ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning ... By integrating advanced in silico modelling and federated learning, we connect pioneering machine ...
... research into reliable, measurable improvements for members. This role is ideal for someone who ... Experience with privacy-preserving approaches (on-device/federated learning, differential privacy ...
... research into reliable, measurable improvements for members. This role is ideal for someone who ... Experience with privacy-preserving approaches (on-device/federated learning, differential privacy ...
... federated learning, and secure multi-party computation * Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data
... federated learning, and secure multi-party computation * Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data
Artificial Intelligence / Machine Learning Data Engineer with Security Clearance
Fairfax, VA · On-site
$117K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
Artificial Intelligence / Machine Learning Data Engineer with Security Clearance
Fairfax, VA · On-site
$117K - $140K/yr
Familiarity with federated learning and edge-cloud hybrid architectures * Experience with business ... Published research or patents in relevant areas Education & Experience: * Bachelor's degree in CS ...
Sr Applied AI Engineer
Irvine, CA · On-site
$131K - $173K/yr
... federated learning edge AI or real time inference is a plus • Contribution to open source research patents or publications is highly valued • Must be able to work onsite in Irvine CA or Plano TX ...
Sr Applied AI Engineer
Irvine, CA · On-site
$131K - $173K/yr
... federated learning edge AI or real time inference is a plus • Contribution to open source research patents or publications is highly valued • Must be able to work onsite in Irvine CA or Plano TX ...
AIML Privacy-Engineering Rotation
$129K - $225K/yr
Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ... Experience with differential privacy or private federated learning. BS in Computer Science, EE or ...
AIML Privacy-Engineering Rotation
$129K - $225K/yr
Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ... Experience with differential privacy or private federated learning. BS in Computer Science, EE or ...
Research Federated Learning information
See salary details
$2.4K - $2.9K
17% of jobs
$3K is the 25th percentile. Wages below this are outliers.
$2.9K - $3.4K
28% of jobs
$3.4K - $3.9K
3% of jobs
The median wage is $4K / yr.
$3.9K - $4.3K
5% of jobs
$4.3K - $4.8K
0% of jobs
$4.8K - $5.3K
0% of jobs
$5.3K - $5.8K
0% of jobs
$5.8K - $6.3K
0% of jobs
$6.3K - $6.7K
0% of jobs
$6.7K - $7.2K
0% of jobs
$7.4K is the 75th percentile. Wages above this are outliers.
$7.2K - $7.7K
46% of jobs
$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?
| Aspect | Research Federated Learning | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in CS, ML, or related fields; research experience | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research labs, tech companies, academia; focus on algorithm development | Business environments, analytics teams; focus on data analysis and insights |
| Industry Usage | AI research, privacy-preserving ML, distributed systems | Business 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:
Full-time
Posted 18 days ago
Amazon rating
7.4
Based on 6,965 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions.
We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms.
Key job responsibilities
* Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools
* Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation
* Create scalable algorithms and models that generalize across multiple customer use cases and business problems
* Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems
* Collaborate with engineering teams to integrate science components into production systems with measurable customer impact
* Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts
* Establish evaluation frameworks and best practices for measuring solution performance and business impact
* Mentor other scientists and contribute to the broader scientific community through publications when appropriate
A day in the life
As an Applied Scientist, you'll work on challenging problems that span multiple domains within AWS Core Services. You might develop video processing architectures for autonomous systems, create optimization solvers for geospatial applications, build behavioral detection models for fraud prevention, design anomaly detection systems for IoT devices, or develop specialized AI capabilities for platform services. You'll investigate novel approaches, validate ideas through rigorous experimentation with real data, and collaborate with scientists and engineers to transform research insights into scalable solutions.
About the team
Our team is a central science organization supporting multiple product teams across AWS Core Services
We tackle fundamental challenges in AI and machine learning that require novel approaches beyond off-the-shelf solutions. Working at the intersection of machine learning, large language models, and domain-specific applications, we develop practical techniques that advance the state-of-the-art while maintaining a clear path to customer impact. Our team builds deep domain expertise across geospatial intelligence, trust and safety systems, autonomous operations, and other critical areas, collaborating closely with engineering teams to transform research insights into scalable production solutions.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US