ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Kansas City, KS (NOW HIRING)

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Strong knowledge of machine learning frameworks (e.g., Scikit‑Learn, TensorFlow, PyTorch) * Demonstrated understanding of advanced descriptive and inferential statistics * Demonstrates expert ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) * Demonstrated understanding of advanced descriptive and inferential statistics * Demonstrates expert ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. Preferred ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. Preferred ...

Propio Language Services

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. Preferred ...

Factualiq

Machine Learning Engineer

Mission, KS · On-site

$110 - $130/hr

Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar) and performance considerations for production workloads. * Production experience with cloud ML ...

next page

Showing results 1-20

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Kansas City, KS

Tensorflow Pytorch information

See Kansas City, KS salary details

$36.2K

$118.4K

$189.5K

How much do tensorflow pytorch jobs pay per year?

As of Sep 5, 2026, the average yearly pay for tensorflow pytorch in Kansas City, KS is $118,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $131,200.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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 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.

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Kansas City, KS as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $118,363 per year, or $56.9 per hour.

Research Engineer / Robotics / ML

Motion Recruitment

Lenexa, KS

Full-time

Re-posted 4 days ago

Job description

A robotics and AI team in Kansas is looking for a Research Engineer to help build the systems that power real world machine learning. This is a full-time role where you will be working across robotics, computer vision, and applied ML, using tools like ROS/ROS2, Python, C++, and PyTorch/TensorFlow.
Robots are out in the real-world collecting data, and your job is to help make sure that data is usable, structured, and feeding into machine learning models in the right way. If you are early in your career and want real exposure to robotics, ML and data systems all in one place, this is a rare setup.
Required Skills & Experience
  • 1-2 years of experience with robotics and machine learning (Internship experience acceptable)
  • Graduated with a bachelor’s degree in Computer Science
  • Experience with ROS/ROS2 frameworks
  • Proficiency in Python and C++
  • Worked with ML models (PyTorch/TensorFlow/ sklearn)
  • Experience working with data pipelines or making raw data usable for AI systems
Desired Skills & Experience
  • Exposure to robotic manipulators or mobile robot systems
  • Experience with biometric/ identity verification systems
  • Familiarity with cloud platforms
What You Will Be Doing
Tech Breakdown
  • 40% Robotics Systems
  • 35% Machine Learning
  • 25% Data Engineering
Daily Responsibilities
  • 50% Hands On
  • 30% Team Collaboration
  • 20% Systems improvement

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply