ZipRecruiter

Log In

1

Pytorch Developer Jobs in Austin, TX (NOW HIRING)

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... PyTorch * Scikit-learn * Pandas * NumPy * OpenCV * NLP fundamentals * Deep Learning * Computer ...

Oscar Technology

Robotics Engineer

Austin, TX · On-site

Engineering / R&D Employment Type: Full-time Reports To: Director of Robotics or Engineering ... Experience with autonomous navigation, SLAM, or computer vision (OpenCV, PCL, TensorFlow/PyTorch)

webAI Inc

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging ... Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers. * Proven experience ...

Graphcore

Staff AI Performance Engineer

Austin, TX · On-site

Required : • BS/MS in Computer Science, Electrical Engineering, or related field • Experience ... PyTorch or TensorFlow • Understanding of ARM architectures and toolchains • Strong debugging ...

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

... PyTorch or JAX, including full training loop development beyond fine-tuning off-the-shelf models ... software engineering skills beyond model development, including ownership of training ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) What We Offer: * Competitive salary * ACS ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) What We Offer: * Competitive salary * ACS ...

Allen Control Systems

Software Engineer

Austin, TX

Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) What We Offer: * Competitive salary * ACS ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) What We Offer: * Competitive salary * ACS ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ... You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including ...

AMD

Software Solutions Architect

Austin, TX · On-site

... engineering background (C/C++, Python, or similar) • Experience building enterprise software systems (not just components) • Deep familiarity with AI/ML inference stacks (ONNX Runtime, PyTorch ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark ...

next page

Showing results 1-20

All JobsPytorch Developer JobsPytorch Developer Jobs in Austin, 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 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 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 popular job titles related to Pytorch Developer jobs in Austin, TX? For Pytorch Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Austin, TX look for? The top searched job categories for Pytorch Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Pytorch Developer jobs? Cities near Austin, TX with the most Pytorch Developer job openings:
Pytorch Developer jobs near you

AI/ML Engineer Intern

Aivra Health LLC

Austin, TX • On-site

Other

Medical

Posted 5 days ago

Job description

AI/ML Engineer Intern

Location: New York, NY, USA (Hybrid/On-site/Remote)

Job Type: Internship (Full-Time / Part-Time)

Duration: 3–6 Months (Extendable)

About the Role

We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing, training, and deploying machine learning models while collaborating with experienced engineers on real-world AI applications. This internship offers hands-on experience in data processing, model development, and AI-driven software solutions.

Key Responsibilities
  • Assist in developing and deploying Machine Learning models.
  • Collect, clean, and preprocess datasets for model training.
  • Train, evaluate, and optimize ML models.
  • Work with supervised and unsupervised learning algorithms.
  • Develop and integrate AI solutions into web applications.
  • Build and maintain data pipelines.
  • Collaborate with Software Engineers and Data Scientists.
  • Document experiments, model performance, and technical findings.
Required Qualifications
  • Pursuing a Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Knowledge of Python programming.
  • Understanding of Machine Learning fundamentals.
  • Familiarity with Data Structures & Algorithms.
  • Knowledge of statistics and probability.
  • Basic understanding of SQL.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • OpenCV
  • NLP fundamentals
  • Deep Learning
  • Computer Vision
  • Generative AI
  • AWS, Azure, or Google Cloud
  • Git & GitHub
What You''ll Gain
  • Hands-on experience building AI solutions.
  • Mentorship from AI/ML professionals.
  • Exposure to production ML workflows.
  • Opportunity for a full-time AI/ML Engineer role based on performance.
  • Professional networking opportunities.
  • Internship certificate and recommendation letter (performance-based).
Eligibility
  • Students graduating in 2026 or 2027 are encouraged to apply.
  • GPA of 3.0/4.0 or above preferred but not required.
  • Must be authorized to work in the United States or require sponsorship, if applicable.
Benefits
  • Flexible work schedule
  • Mentorship program
  • Learning & development opportunities
  • Networking events
  • Paid holidays (as per company policy)
  • Potential Pre-Placement Offer (PPO)

Apply