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Pytorch Jobs in Utah (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

BILL

Senior Machine Learning Engineer

Draper, UT

$97K - $134K/yr

Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow , PyTorch , or scikit-learn * Previous experience with OCR extraction and NLP methodologies * Knowledge of AI ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$114K - $151K/yr

... PyTorch, or scikit-learn • Previous experience with OCR extraction and NLP methodologies • Knowledge of AI agents and strong experience with LLMs • Ability to analyze and interpret large ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good understanding of data structures and algorithm * Desire to learn * Strong analytical thinking and problem ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good understanding of data structures and algorithm * Desire to learn * Strong analytical thinking and problem ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good understanding of data structures and algorithm * Desire to learn * Strong analytical thinking and problem ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good understanding of data structures and algorithm * Desire to learn * Strong analytical thinking and problem ...

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Pytorch information

See Utah salary details

$72.6K

$130.2K

$186.8K

How much do pytorch jobs pay per year?

As of Jun 27, 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.

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

Machine Learning Engineer

Bespoke Labs

Salt Lake City, UT • On-site

Full-time

Posted 10 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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