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Climate Research Scientist Machine Learning Jobs

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97.60K - $124.40K/yr

Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...

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 ...

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 ...

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 ...

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Climate Research Scientist Machine Learning information

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$50.5K

$130.1K

$174K

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

As of May 29, 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.

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 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 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
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX • On-site

$97.60K - $124.40K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Your Impact
The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.
What You'll Do
  • Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers.
  • Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives.
  • Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact.
  • Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
  • Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.
Who You Are
  • 6 to 8+ years of relevant experience in machine learning research.
  • Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
  • Proven track record of impactful research projects and leadership.
  • Proven experience in leading or significantly contributing to complex and large-scale research projects.
  • Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
  • Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
  • Contribution to the development and implementation of long-term research strategies.
  • Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
  • Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
  • Continued innovation in the development of novel algorithms, methodologies, or applications.
  • Track record of contributing groundbreaking ideas to the field of machine learning.
  • Substantial experience in applying machine learning research to real-world industry problems.
  • A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.
Even Better If You Have...
  • Experience in operational leadership, optimizing research processes.
  • Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.
Perks of DISCO
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k)
  • Competitive salary plus RSUs
  • Flexible PTO
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company

About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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