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Climate Research Scientist Machine Learning Jobs

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$139K - $165K/yr

As a Senior Research Scientist at STR, you will help develop disruptive technologies focused on ... Experience building and training neural networks using standard deep learning tools (e.g., PyTorch ...

MANTECH

Research Scientist

Catonsville, MD · On-site

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance Computing) and ML (Machine Learning) benchmarks. In this role, you will contribute to the ...

MANTECH

Research Scientist

Catonsville, MD

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance Computing) and ML (Machine Learning) benchmarks. In this role, you will contribute to the ...

MANTECH

Research Scientist

Catonsville, MD · On-site

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance Computing) and ML (Machine Learning) benchmarks. In this role, you will contribute to the ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

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All JobsClimate Research Scientist Machine Learning Jobs

Climate Research Scientist Machine Learning information

See salary details

$50.5K

$130.1K

$174K

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

As of Jul 9, 2026, the average yearly pay for climate research scientist machine learning in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 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.

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.

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.

More about Climate Research Scientist Machine Learning jobs
What cities are hiring for Climate Research Scientist Machine Learning jobs? Cities with the most Climate Research Scientist Machine Learning job openings:
What states have the most Climate Research Scientist Machine Learning jobs? States with the most job openings for Climate Research Scientist Machine Learning jobs include:
What job categories do people searching Climate Research Scientist Machine Learning jobs look for? The top searched job categories for Climate Research Scientist Machine Learning jobs are:
Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Machine Learning Research Scientist/Engineer

Cox-Little & Company

Princeton, NJ • On-site

Other

Re-posted 2 days ago

Job description

Title: Machine Learning Research Scientist/Engineer

Location: Princeton, NJ

Mode: FTE/ Full Time

Required Skills:

  • Experience with advanced VLM/SFM/LLM models (e.g., GPT-4o, UniSurg/SurgMotion, SAM) for intraoperative video analysis;
  • Experience and skills in working with deep reinforcement learning (deep RL) and/or AI Agent frameworks, including prompt engineering, LangChain/LlamaIndex or RAG;
  • Experience with NVIDIA stacks and hardware deployment is a plus;
  • Strong foundational knowledge in geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs);
  • PhD holder OR master''''''''s degree holder with 3 years of industry experience

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