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Climate Research Scientist Machine Learning Jobs in Redmond, WA

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

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Climate Research Scientist Machine Learning information

See Redmond, WA salary details

$56.6K

$145.7K

$194.9K

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

As of Aug 20, 2026, the average yearly pay for climate research scientist machine learning in Redmond, WA is $145,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $193,800.00 per year, depending on experience, location, and employer.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Redmond, WA?

For Climate Research Scientist Machine Learning jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in Redmond, WA look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Climate Research Scientist Machine Learning jobs?

Cities near Redmond, WA with the most Climate Research Scientist Machine Learning job openings:

Infographic showing various Climate Research Scientist Machine Learning job openings in Redmond, WA as of June 2026, with employment types broken down into 52% Full Time, 46% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $145,724 per year, or $70.1 per hour.

Machine Learning Research Scientist - Health AIML

Apple Inc.

Seattle, WA • On-site

$205.40 - $374.30/hr

Other

Medical, Dental, Retirement

Re-posted 18 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

Machine Learning Research Scientist - Health AIML

Seattle, Washington, United States Machine Learning and AI

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.
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.
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.
Compensation and 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.

Equal Opportunity Employment

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.

Accessibility

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.

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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