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Pytorch Developer Jobs in Houston, TX (NOW HIRING)

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

... PyTorch, Scikit-learn, and OpenAI API. • Experience with cloud computing platforms (e.g., AWS ... prompt engineering. Preferred : • Familiarity with the financial services industries. • ...

DPR Construction

MLOps Engineer

Houston, TX

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling ... PyTorch or Scikit-learn Required Skills * Experience with CI/CD processes and automation

Techvilla Solutions

Data Scientist

Highlands, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... as PyTorch, ONNX, and TensorRT . * Experience with real-time embedded systems and handling large ...

Bot Auto

GPU Engineer

Houston, TX

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... as PyTorch, ONNX, and TensorRT . * Experience with real-time embedded systems and handling large ...

Yantran LLC

Customer Delivery Head

Texas City, TX · On-site

Proficiency in programming languages such as Python, Java, or C++. * Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). * Strong understanding of ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... Engineer to develop their unified behavioral architecture. This role involves bridging the gap ... PyTorch; strong understanding of modern deep learning architectures and optimization techniques ...

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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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.

Computer Programmer II (Hybrid) Neurosurgery - Galveston

UTMB Health

Galveston, TX • Hybrid

$48K - $60K/yr

Full-time

Re-posted 26 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

268th of 888 rated healthcare providers

Job description

Minimum Qualifications:

  • Associate's degree or equivalent in related field and one year related experience.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Computer Science,Electrical Engineering, or related field.
  • Proficiency in Python required; strong experience in libraries such as NumPy,OpenCV, scikit-learn, TensorFlow, or PyTorch.
  • Experience interfacing with optical and electronic components (e.g., cameras,LEDs, filter wheels, motion stages, serial/USB communication).
  • Working knowledge of image processing and signal analysis.
  • Demonstrated ability to design, test, and document engineering systems in a collaborative environment.
  • Experience with real-time image acquisition and GPU acceleration (CUDA orOpenCL).
  • Familiarity with biomedical or scientific imaging systems.
  • Experience with machine learning or AI-driven image analysis.

Job Description:

To provide technical skills in the preparation and use of programs for the solution of problems by electronic computers. Join a multidisciplinary team developing next-generation optical imaging systems for neurosurgery. This position will focus on designing and optimizing software to control and integrate optical components (LEDs, cameras, filters, motion systems), while developing robust pipelines for real-time data acquisition, visualization, and analysis. A central objective is to leverage the data generated from these systems to build and train machine learning and AI algorithms for improved image-based detection and classification using advanced image processing techniques. The work directly supports translational technology development-taking innovations from bench to bedside to improve visualization and precision during brain tumor surgery.

Essential Duties 

  •  Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.). 
  • Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging. 
  • Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis.  
  • Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation. 
  • Translate research-grade prototypes into clinically deployable systems 

  • Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows.
     

    Working Conditions Hybrid lab/office environment; occasional off-hours support for experiments or intraoperative imaging sessions
     

Salary Range:
Commensurate with experience  $48,000-$60,000
 

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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