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Research Machine Learning Federated Learning Jobs in Bothell, WA

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

Robinhood

Machine Learning Engineer

Bellevue, WA

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

AI and ML Research : Evaluate cutting technologies, including but not limited to ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

New

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Description We are seeking a machine learning research engineer with experience building modern ... generative models based on diffusion and auto-regressive technologies. The ideal candidate has ...

New

2T Consulting

Machine Learning Engineer

Seattle, WA · On-site

Build and optimize scalable machine learning pipelines for model training, deployment, monitoring, and lifecycle management. * Design and implement frameworks for multi-agent AI systems, emphasizing ...

New

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Responsibilities : • Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Bothell, WA

Research Machine Learning Federated Learning information

See Bothell, WA salary details

$28.5K

$47.6K

$98.4K

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

As of Aug 8, 2026, the average yearly pay for research machine learning federated learning in Bothell, WA is $47,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 per year, depending on experience, location, and employer.

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 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 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.

What are popular job titles related to Research Machine Learning Federated Learning jobs in Bothell, WA? For Research Machine Learning Federated Learning jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Research Machine Learning Federated Learning jobs? Cities near Bothell, WA with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you
Infographic showing various Research Machine Learning Federated Learning job openings in Bothell, WA as of August 2026, with employment types broken down into 19% Internship, 68% Full Time, and 13% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $47,604 per year, or $22.9 per hour.

Machine Learning Engineer

Apple Inc.

Seattle, WA • On-site

$175 - $308.50/hr

Other

Medical, Dental, Retirement

Re-posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Seattle, Washington, United States Machine Learning and AI

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Minimum Qualifications
  • Software engineering skills and proficiency in Python
  • Experience with PyTorch
  • BS degree and 10+ years of experience
Preferred Qualifications
  • Passion for delivering high quality features to large groups of diverse end-users
  • Excellent communication and experience working with multi-functional teams
  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
  • MS degree in computer vision, computer graphics, machine learning or related field
  • PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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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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