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Climate Research Scientist Machine Learning Jobs in Maine

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Instacart

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... machine learning, operations research or equivalent self study and experience * Have strong ...

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Climate Research Scientist Machine Learning information

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

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

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

The top searched job categories for Climate Research Scientist Machine Learning jobs in Maine are:

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

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

Climate Research Scientist Machine Learning jobs near you

Remote Research Scientist - ML & Systems

Payfuture Technologies

Augusta, ME • On-site

$225K - $240K/yr

Other

Posted yesterday

New

Job description

Research scientist job at Facebook App. Augusta, ME. Summary

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Research Scientist Responsibilities
  • Perform research and develop solutions to computer software and computer hardware problems.
  • Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
  • Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
  • Utilize technical research background, train new ranking models, and run experiments.
  • Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
  • Use machine learning, statistics, or other data techniques to build algorithms.
  • Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
  • Analyze and resolve computer challenges from a system engineering standpoint.
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
  • Telecommute from anywhere in the US permitted.
Minimum Qualifications
  1. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
  2. Requires completion of a university-level course, research project, internship, or thesis in the following:
  3. Algorithms, data structures, or systems software
  4. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
  5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
  6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
  7. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and
  8. Java, C++, Perl, PHP, or Python
Public Compensation

$225,569/year to $240,240/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff ... (rest of Equal Opportunity statement)

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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