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Pytorch Jobs in Utah (NOW HIRING)

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT

$84K - $103K/yr

Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.) Our ...

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How much do pytorch jobs pay per year?

As of Jul 18, 2026, the average yearly pay for pytorch in Utah is $130,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,929.00 and $159,243.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

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Pytorch jobs near you
Senior Climate Analytics Specialist

Senior Climate Analytics Specialist

ICF

Salt Lake City, UT

$84K - $103K/yr

Full-time

Posted yesterday

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Job description

Title: Senior Climate Analytics Specialist

Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA

Are you ready to make a difference?

ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.

The consultant chosen for this position will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.

The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.

Why you will love working here:

  • Quality of life: Flexible workplace arrangements, work-life balance

  • Investment of the community: Donation matching, volunteer opportunities

  • Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan

  • And many, many more (Ask your recruiter for more details!)

What you'll be doing...

  • Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects
  • Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products
  • Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
  • Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
  • Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports
  • Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you'll need to have...

  • Bachelor's Degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
  • 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
  • Demonstrated experience designing and implementing scalable, cloud-based workflows for large geospatial and climate datasets, including parallel processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
  • Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience...

  • Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • Ability to perform self-directed analytical work related to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
  • Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
  • Outstanding oral and written communication skills; ability to communicate complex climate information to non-scientists to inform decision-making
  • Experience working with and leading multi-disciplinary teams
  • Organized, detail oriented, and the ability to prioritize and multi-task

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00Nationwide Remote Office (US99)

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