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Pytorch Jobs in Utah (NOW HIRING)

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP). * Solid understanding of software engineering best practices ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

TensorFlow, PyTorch * Data Engineering: * FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab ...

NRG Energy

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

TensorFlow, PyTorch * Data Engineering: * FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab ...

New

Nrg Bluewater Wind

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

TensorFlow, PyTorch * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure

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$130.2K

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How much do pytorch jobs pay per year?

As of Sep 13, 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 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.

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 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 are the most commonly searched types of Pytorch jobs in Utah?

The most popular types of Pytorch jobs in Utah are:

What are popular job titles related to Pytorch jobs in Utah?

For Pytorch jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Utah look for?

The top searched job categories for Pytorch jobs in Utah are:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Utah as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $130,209 per year, or $62.6 per hour.

Internship - Research Engineer

Salt Lake City, UT • On-site

Smule
11 - 50 employees
Learn more about Smuleexternal

Other

Re-posted 13 days ago

Key responsibilities

  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.

  • Collaborate with research scientists to implement, debug, and optimize model architectures, training procedures, and data pipelines.

  • Build tooling and abstractions to accelerate the experiment‑iterate‑publish cycle for the research team.

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role

We are hiring a Research Engineer to accelerate Smule's research teams by building the infrastructure, tooling, and experimental frameworks that make rigorous research possible at scale. You will work side‑by‑side with research scientists, turning experimental ideas into robust, reproducible code and helping bridge the gap between prototype and production. The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive.

We strongly encourage candidates with non‑traditional backgrounds to apply. If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you.

What You’ll Be Doing:
  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.
  • Collaborate with research scientists to implement, debug, and optimize novel model architectures, training procedures, and data pipelines.
  • Build tooling and abstractions that accelerate the experiment‑iterate‑publish cycle for the research team.
  • Ensure reproducibility of research results through rigorous version control of code, data, configurations, and compute environments.
  • Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks.
  • Contribute to open‑source projects and internal libraries that codify best practices and reusable components.
What We’re Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP).
  • Solid understanding of software engineering best practices: testing, CI/CD, code review, and documentation.
  • Familiarity with Linux, GPU computing, and cloud or on‑prem HPC environments.
  • Ability to read and implement methods from ML research papers.
Bonus Points For:
  • Experience with audio, speech, or music signal processing pipelines.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, Slurm).
  • Contributions to open‑source ML frameworks or research codebases.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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