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Pytorch Developer Jobs in Houston, TX (NOW HIRING)

Hp

Senior Software Engineer

Spring, TX · On-site

$109K - $143K/yr

... DevOps, systems engineering, and AI/ML engineering to deliver scalable, high-quality software ... Hands-on machine learning experience with frameworks such as PyTorch, TensorFlow / TensorFlow Lite ...

Booz Allen Hamilton

Aerospace Engineer

Houston, TX · On-site

Experience applying machine learning ( ML ) to solve engineering problems with modern ML frameworks such as PyTorch or TensorFlow * Experience developing simulations using NVIDIA Warp and CUDA Python ...

Booz Allen Hamilton

Aerospace Engineer

Houston, TX · On-site

$86K - $198K/yr

Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or Tensorflow * Experience developing simulations using NVIDIA Warp and CUDA Python ...

Booz Allen Hamilton

Aerospace Engineer

Houston, TX · On-site

$86K - $198K/yr

Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or TensorFlow * Experience developing simulations using NVIDIA Warp and CUDA Python ...

Invesco

Principal Automation & AI Engineer

Houston, TX · On-site

... PyTorch, scikit-learn, or Azure AI services. * Software Engineering: Strong programming skills in ... Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices ...

Booz Allen Hamilton, Inc.

Aerospace Engineer

Houston, TX · On-site

$86K - $198K/yr

Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or Tensorflow * Experience developing simulations using NVIDIA Warp and CUDA Python ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow * Hands-on experience with LLM agent frameworks for building complex ...

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · On-site

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · Hybrid

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow * Hands-on experience with LLM agent frameworks for building complex ...

Booz Allen Hamilton, Inc.

Aerospace Engineer

Houston, TX · On-site +1

$86K - $198K/yr

Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or TensorFlow * Experience developing simulations using NVIDIA Warp and CUDA Python ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow * Hands-on experience with LLM agent frameworks for building complex ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Houston, TX

Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Houston, TX?

For Pytorch Developer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Houston, TX look for?

The top searched job categories for Pytorch Developer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Pytorch Developer jobs?

Cities near Houston, TX with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Houston, TX as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Houston, TX • On-site

Bot Auto
See more jobs at Bot Autoexternal

Full-time

Re-posted 15 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow
This matters as much to us as what you'll ship.
  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
Qualifications
Required:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

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