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Climate Research Scientist Machine Learning Jobs in Renton, WA

Apple

AIML - ML Research Scientist, HCMI

Seattle, WA

$139K - $258K/yr

We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI ... Description We are building machine learning technologies to understand, interact with, evaluate ...

Expedia

Senior Machine Learning Scientist

Seattle, WA · On-site +1

$104K - $142K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Read and apply relevant academic and industry research to improve model architectures, training ...

Adobe

Research Scientist

Seattle, WA

$120K - $238K/yr

The Opportunity Adobe Research is looking for research scientists in Generative AI to join a world ... Machine Learning, Deep Learning, Computer Vision, Computer Graphics, and Natural Language ...

Adobe

Senior Applied Scientist

Seattle, WA

$104K - $142K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist ... The chosen candidate will collaborate with researchers and engineers to build and refine post ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Renton, WA

Climate Research Scientist Machine Learning information

See Renton, WA salary details

$56.8K

$146.4K

$195.7K

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

As of Jun 26, 2026, the average yearly pay for climate research scientist machine learning in Renton, WA is $146,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $194,600.00 per year, depending on experience, location, and employer.

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

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.

Is AI working on climate change?

Climate research scientists using machine learning develop AI models to analyze climate data, improve climate predictions, and identify patterns related to environmental change. These applications help inform policy decisions and support climate mitigation efforts, making AI a valuable tool in addressing climate change challenges.

Are climate scientists in demand?

Climate research scientists with expertise in machine learning are in increasing demand due to the growing focus on climate change mitigation and adaptation. Employers seek professionals skilled in data analysis, modeling, and environmental science, often requiring proficiency in programming languages like Python or R. Job opportunities are available in academia, government agencies, and private sector organizations working on climate-related projects.

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.

Will AI replace data scientists in 2050?

As a Climate Research Scientist with machine learning expertise, AI is expected to augment rather than replace data scientists by automating routine tasks and providing advanced analytical tools. Human judgment, domain knowledge, and interpretative skills will remain essential for complex problem-solving and decision-making in data science roles through 2050.

What is the average salary of a Climate Scientist?

The average salary of a Climate Research Scientist varies by experience and location but typically ranges from $60,000 to $100,000 annually. Those with advanced degrees, specialized skills in machine learning, and experience in data analysis tend to earn higher salaries within this field.

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 job categories do people searching Climate Research Scientist Machine Learning jobs in Renton, WA look for? The top searched job categories for Climate Research Scientist Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for Climate Research Scientist Machine Learning jobs? Cities near Renton, WA with the most Climate Research Scientist Machine Learning job openings:
Climate Research Scientist Machine Learning jobs near you
AIML - ML Research Scientist, HCMI

AIML - ML Research Scientist, HCMI

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 5 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Scientists in our team collaborate with ML Engineers, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship internal tools and external products.
Description
We are building machine learning technologies to understand, interact with, evaluate and generate user interfaces. These technologies integrate into a variety of Apple products and services. Our technologies were the basis for the Screen Recognition feature in iOS 14 and have since been integrated into a variety of products and services across Apple. You'll work closely with the rest of the team to implement and deliver UI Understanding technologies into several tools and products. You will have the opportunity to collaborate with and impact multiple teams across the company, and through those teams, millions of Apple users.
Preferred Qualifications
BS in Computer Science or greater, or related field or equivalent experience preferred
Minimum Qualifications
3+ years practical experience in software development
Experience engineering production software systems on mobile devices; especially on Apple platforms
Ability to be self-directed and handle competing demands from multiple simultaneous projects
Experience in building early stage products, and making them robust and scalable
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 $139,500 and $258,100, 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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