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Climate Research Scientist Machine Learning Jobs in Texas

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

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Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · Hybrid

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · On-site

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · On-site

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...

webAI

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

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Climate Research Scientist Machine Learning information

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.

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.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Texas?

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

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

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What cities in Texas are hiring for Climate Research Scientist Machine Learning jobs?

Cities in Texas with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you

Senior Machine Learning Research Scientist, Secure AI Lab

AIToolboard

Arlington, TX • On-site

$140 - $190/hr

Other

Posted 9 days ago

Job description

Jobs / Senior Machine Learning Research Scientist, Secure AI Lab

Senior Machine Learning Research Scientist, Secure AI Lab

Full-time

About the Role

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we• build real-world, mission-scale AI capabilities through solving practical engineering problems• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities• prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities• identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.TheSecure AILab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn’tsupposed to.TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

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