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Tensorflow Pytorch Jobs in Utah (NOW HIRING)

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Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow * Experience working with ...

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

New

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...

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Tensorflow Pytorch information

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.

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.

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 popular job titles related to Tensorflow Pytorch jobs in Utah? For Tensorflow Pytorch jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Tensorflow Pytorch jobs? Cities in Utah with the most Tensorflow Pytorch job openings:
ASL Technology Research Internship - Pose Extraction (2-6 months)

ASL Technology Research Internship - Pose Extraction (2-6 months)

Sorenson

Salt Lake City, UT • On-site

$25/hr

Internship

Posted 8 days ago


Sorenson Communications rating

7.1

Company rating: 7.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

223rd of 442 rated business services


Job description

Job Description

Benchmark key point extraction methods on a sign language recognition dataset. The work includes:

  • Process a video dataset with pose extraction software packages, including Media Pipe and RTMPose.
  • Construct a metric for measuring accuracy that correlates with projected recognition accuracy.
  • Evaluate relative performance and study methods of improving the metric.

Pay Range: $20-$30/hr DOE

Essential Duties and Responsibilities

  • Demonstrated expertise with Python, PyTorch, and TensorFlow
  • Experience in sign language generation or recognition technology is a plus
  • Experience using Media Pipe is a plus.

Supervisory Responsibility

This position has no supervisory responsibilities.

Travel Requirements

Travel Requirements: Less than 25%

Education

  • At least two years of university study in computer science

Experience

  • One year of experience training machine learning models, including transformers

Knowledge, Skills, and Abilities

  • Ability to work as part of a team.
  • Oral and written communication skills.
  • Attentiveness.
  • Ability to understand and follow directions.

Working Conditions and Physical Requirements

  • Ability to sit and/or stand at a desk and work with a computer for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, tools, and to handle other computer components.
  • Regular and predictable attendance required.

Disclaimer

This position has access to highly confidential, sensitive information relating to the employees, customers, and technologies of Sorenson Communications. It is essential that applicant possess the requisite integrity to maintain the information in strictest confidence.

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Apply today! www.sorenson.com/company/careers/

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Equal Employment Opportunity:

Sorenson Communications is an EOE, Disability/Age Employer.


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