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Climate Research Scientist Machine Learning Jobs in Basking Ridge, NJ

Amazon

Applied Scientist III - AMZ27579.1

New York, NY · On-site

$183K - $248K/yr

Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and five years of research or work experience in the job offered ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

... Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD * Strong familiarity with the mathematical fundamentals of advanced statistics, machine ...

Geico

Senior Applied Research Scientist

New York, NY · On-site

$115K - $230K/yr

Senior Research Scientist We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI ...

Meta

AI Research Scientist, Physical AI

New York, NY

$184K/yr

AI Research Scientist, Physical AI Responsibilities: * Explore and develop novel post-training ... Machine Learning, relevant technical field, or equivalent practical experience. Degree must be ...

EliseAI

Senior Research Scientist

New York, NY · On-site

$200K - $320K/yr

About The Role EliseAI is seeking world-class experts in Machine Learning and related fields to ... As a Senior Research Scientist you will own end-to-end research initiatives that push EliseAI ...

Edgestream

Research Scientist

Princeton, NJ · On-site

Research Scientist About Us Edgestream Partners is a team of scientists, engineers, and investment ... machine learning, information theory, optimization, and algorithms, to better understand the ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Basking Ridge, NJ

Climate Research Scientist Machine Learning information

See Basking Ridge, NJ salary details

$52K

$134.1K

$179.3K

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

As of Aug 23, 2026, the average yearly pay for climate research scientist machine learning in Basking Ridge, NJ is $134,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $178,300.00 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 are popular job titles related to Climate Research Scientist Machine Learning jobs in Basking Ridge, NJ?

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

What cities near Basking Ridge, NJ are hiring for Climate Research Scientist Machine Learning jobs?

Cities near Basking Ridge, NJ with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 52% Full Time, 46% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $134,093 per year, or $64.5 per hour.

Research Scientist - Central Applied Science

Meta

New York, NY

$183K/yr

Full-time

Re-posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

We’re looking for applied scientists with substantial industry experience to join the Central Applied Science team. Central Applied Science is home to experts from many scientific fields, partnering across the company to deliver engineering systems that bring research and innovation to fundamentally contribute to Meta's success.You will be empowered to leverage your expertise and drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation. Experience building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist – Central Applied Science Responsibilities:
  • Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business
  • Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Communicate best practices in quantitative analysis to partners
  • Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users
  • Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within Meta

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in computer science, statistics, operations research or a related field
  • 4+ years of industry experience in an applied R&D capacity or similar function
  • Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
  • Experience analyzing datasets using languages such as Python
  • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
  • Experience developing algorithms in languages such as Python, C, C++ or Java
  • Experience analyzing large datasets using tools such as Presto, Hive or Spark
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Track record of building end-to-end systems which bring science and engineering to solve critical business problems
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraints

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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