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Climate Research Scientist Machine Learning Jobs in Renton, WA

Senior Agentic AI Research Scientist

Seattle, WA · On-site +1

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... You will advance the state-of-the-art in machine learning and multimodal technology and apply your ...

The Research Scientist role involves driving the development of AI systems with deep reasoning ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

The Research Scientist will drive the development of AI systems with deep reasoning capabilities ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ10061595 Position ... Develop and apply state of the art machine learning methods to large, multi source datasets to ...

They are seeking a Research Scientist to drive the development of AI systems with deep reasoning ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... You will advance the state-of-the-art in machine learning and multimodal technology and apply your ...

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... You will advance the state-of-the-art in machine learning and multimodal technology and apply your ...

Showing results 41-60

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 Aug 19, 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 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 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:

Senior Agentic AI Research Scientist

Axon

Seattle, WA • On-site, Remote

$112K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Axon rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers


Job description

Your Impact

We are seeking a skilled and innovative Senior AI Research Scientist to join a new team focusing on agentic video and multimodal reasoning systems. As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in machine learning and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual and multimodal data.
At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You'll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

  • Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
  • Lead end-to-end research efforts in AI-assisted universal search of and reasoning over large multimodal data with an emphasis on video understanding.
  • Advance related computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
  • Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
  • Develop performance and quality metrics for agentic multimodal reasoning models and systems, and validate their effectiveness in real-world settings.
  • Stay up-to-date with the latest research and advances in agentic AI, machine learning and computer vision and translate relevant findings into shipping Axon products.
  • Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
  • Coach and mentor junior scientists.
What You Bring
  • PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
  • Proven track record of applied research and/or production impact in multimodal learning, video-language modeling, retrieval systems, foundation models, agentic systems, or RAG architectures.
  • Experience owning and driving the ML development lifecycle from problem definition and data strategy through model development, evaluation, deployment, and iteration in production environments.
  • Experience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge.
  • Strong understanding of video analysis and temporal modeling as well as computer vision fundamentals and trade-offs.
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
  • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • And yes, we have snacks in our offices

#LI-Hybrid


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