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Machine Learning Research Scientist Jobs in Seattle, WA

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

This involves developing sophisticated machine learning and large language models (LLMs) to ... You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain ...

Allen Institute

AI Research Scientist

Seattle, WA

About the Role We are seeking a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying ...

Allen Institute

AI Research Scientist

Seattle, WA · On-site

About the Role We are seeking a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

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All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in Seattle, WA

Machine Learning Research Scientist information

See Seattle, WA salary details

$57.5K

$148.1K

$198K

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

As of Jul 28, 2026, the average yearly pay for machine learning research scientist in Seattle, WA is $148,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $196,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are popular job titles related to Machine Learning Research Scientist jobs in Seattle, WA? For Machine Learning Research Scientist jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in Seattle, WA look for? The top searched job categories for Machine Learning Research Scientist jobs in Seattle, WA are:
Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $148,074 per year, or $71.2 per hour.
Machine Learning Research Scientist - Health AIML

Machine Learning Research Scientist - Health AIML

Apple

Seattle, WA

$205K - $374K/yr

Full-time

Medical, Dental, Retirement

Posted 25 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.
Description
We’re developing next-generation multimodal models to create intelligent health and fitness experiences. This role requires someone with strong expertise in large multimodal models to work at the intersection of AI and health to build foundational models that scale to billions of users worldwide. Your work will shape the future of health and fitness technologies at Apple.
We are looking for a research lead to guide multimodality research. You will lead the development of foundational technology that enables models to understand health and fitness data.","responsibilities":"Lead research into health and fitness representation models and multimodal models.
Design, prototype and scale up new architectures to improve model intelligence.
Execute and analyze experiments autonomously and collaboratively.
Study, debug, and optimize model performance and computational performance.
Contribute to training and inference infrastructure.
Guide technical and architectural decision.
Preferred Qualifications
Experience in training and evaluating multimodal models.
Understand of time-series modeling, self-supervised learning, and cross-modal training.
Ability to thoroughly evaluate and improve deep learning architectures in a self-directed fashion.
Motivated by safely deploying LLMs in the health and fitness space.
Minimum Qualifications
PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics or related field.
Industry work experience.
Experience landing contributions to major LLM training runs.
Proven track record of publishing SOTA.
Strong skills with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Pay & Benefits
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 $205,400 and $374,300, 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.

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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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