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Pytorch Developer Jobs in Austin, TX (NOW HIRING)

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$53 - $70/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$52.75 - $69.50/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$52 - $68.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$56.50 - $74.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores:

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ... CI/CD: Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience.

Tech Tammina

AIML Engineer (Gen AI)

Austin, TX · On-site

Role: - AIML Engineer (Gen AI) - keyskill: Claud and Python, ML engineer background Location ... Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and data tooling.

Estaff LLC

Senior AI/ML Software Developer

Austin, TX

$54 - $71.25/hr

Computer Vision • Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object ... Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. • Feature ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

... Engineer to lead the development of advanced machine learning systems. In this role, you will be ... PyTorch), ensuring performance, scalability, and reliability in production • Lead the development ...

Millennium Group

Software Developer Specialist

Austin, TX · On-site

$35.75 - $49/hr

... PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. • Feature stores (Feast, Tecton) or advanced feature engineering. • quantization, pruning, knowledge ...

New

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Kaav Inc

Java AI Engineer-C2C

Austin, TX · On-site

$51.25 - $70.50/hr

Java AI Engineer-NO OPT and H1B Location: Austin, TX/ Sunnyvale, CA (Sunnyvale - 2 Positions ... Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)

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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 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

Senior Software Developer Specialist

eStaffLLC

Austin, TX

$53 - $70/hr

Full-time

Posted 3 days ago

Job description

We are seeking a Senior Software Developer for a hybrid position (2 days/wk in South Austin office) with deep expertise in AI/ML development to join our Austin client's team. In this role, you will design, build, and deploy production-grade machine learning systems that serve real users on a scale. You will work across cloud platforms, contribute to MLOps infrastructure, and collaborate with cross-functional teams to deliver impactful AI-driven solutions.

CORE REQUIREMENTS AI/ML SPECIALIZATIONS Natural Language Processing & LLMs Experience with transformer architectures (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. Time Series & Anomaly Detection Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. Recommender Systems * Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines.

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or equivalent platforms. * Distributed Training: Large-scale model training, multi-GPU/multi-node setups, and efficient data parallelism.

CI/CD: Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores: Familiarity with Feast, Tecton, or advanced feature engineering practices. * Model Optimization: Quantization, pruning, and knowledge distillation for production efficiency.

LLM Models: Experience with Ollama, Hugging Face, or other open/non-frontier model frameworks. Required Technical Skills Python: 3-5+ years of production experience; Python is your primary language. * AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services). DevOps: Hands-on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.

Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL/vector databases. Scripting: Proficient in both Bash and PowerShell for automation workflows. Preferred Qualifications * Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

Prior experience in transportation, logistics, or smart city sectors. Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. * Familiarity with public sector data compliance, security, and governance standards.

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