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Tensorflow Pytorch Jobs in Orem, UT (NOW HIRING)

BILL

Senior Machine Learning Engineer

Draper, UT

$97.70K - $134.20K/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

$114.50K - $151K/yr

... as TensorFlow, 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 ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/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

$100.90K - $132.40K/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

$100.90K - $132.40K/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 ...

Maximus

AI/ML Software Developer

Orem, UT · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$145.70K - $174.80K/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 ...

Adobe

AI Context Engineer

Lehi, UT · On-site

... PyTorch, or TensorFlow. • Solid understanding of tokenization, prompt formatting, context window constraints, and retrieval-augmented generation (RAG) patterns. • Experience working with APIs ...

Adobe

Principal Engineer AI/ML

Lehi, UT · Remote

Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX. * Experience designing and deploying ...

Zions Bancorporation

Applied AI Scientist

Midvale, UT · On-site

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

Sunwest Bank

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... TensorFlow, or PyTorch • Ability to work with structured data (SQL, data frames) and unstructured data (text, images) • Understanding of machine-learning techniques including regression ...

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Tensorflow Pytorch information

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$32.6K

$106.7K

$170.8K

How much do tensorflow pytorch jobs pay per year?

As of May 30, 2026, the average yearly pay for tensorflow pytorch in Orem, UT is $106,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $118,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Orem, UT? For Tensorflow Pytorch jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Orem, UT look for? The top searched job categories for Tensorflow Pytorch jobs in Orem, UT are:
What cities near Orem, UT are hiring for Tensorflow Pytorch jobs? Cities near Orem, UT with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

BILL

Draper, UT

$97.70K - $134.20K/yr

Other

Posted 2 days ago

Job description

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

  • Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
  • Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
  • Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
  • Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
  • Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
  • Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
  • Mentor junior team members and share technical expertise to elevate team capabilities

We'd love to chat if you have:

  • Proven experience building and deploying machine learning models in production environments
  • 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 agents and strong experience with LLMs
  • Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
  • Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
  • A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

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About BILL

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Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

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