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Pytorch Developer Jobs in Ramona, CA (NOW HIRING)

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for ... PyTorch and Keras will be an added bonus. DESIRED : * Bachelor's degree in Computer Science ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

You bring strong software, DevOps, and data engineering fundamentals with hands on experience ... Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX.

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for ... PyTorch and Keras will be an added bonus. DESIRED : * Bachelor's degree in Computer Science ...

Analog Layout Automation Engineer

San Diego, CA · On-site

$214K/yr

Join Apple's Silicon Engineering Group (SEG) and be at the forefront of shaping the next generation ... Hands-on experience with PyTorch for model development and experimentation. Demonstrated ability to ...

Analog Layout Automation Engineer

San Diego, CA · On-site

$214K/yr

Join Apple's Silicon Engineering Group (SEG) and be at the forefront of shaping the next generation ... Hands-on experience with PyTorch for model development and experimentation. Demonstrated ability to ...

Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or ... Python (PyTorch/Tensor Flow) deployed on Red Hat Enterprise Linux (RHEL) tactical edge servers.

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark ...

... Pytorch, Caffe, Torch, OpenCV, etc (>2years) * - C++ programming skills, preferably in an embedded environment with GPU and familiar with UML What's On Offer * - Salary range : $120-160K * - Health ...

Showing results 41-60

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 cities near Ramona, CA are hiring for Pytorch Developer jobs?

Cities near Ramona, CA with the most Pytorch Developer job openings:

Senior Perception Algorithms Lead

General Atomics Aeronautical Systems

Poway, CA • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
General Atomics Aeronautical Systems, Inc. (GA-ASI) is a leader in Unmanned Aircraft Systems and advanced programs. They are seeking a Perception Algorithms Lead to develop and deploy advanced algorithms for sensing, detection, tracking, and classification across multi-modal sensor systems, focusing on real-time data processing and algorithm optimization.
Responsibilities:
• Lead development of perception algorithms for detection, tracking, and classification using RF, EO/IR, and other sensor modalities
• Design and implement multi-sensor fusion pipelines for robust state estimation and object tracking
• Develop and train models for feature extraction and classification directly from sensor data
• Apply probabilistic methods, statistical inference, and data-driven modeling techniques to noisy, real-world datasets
• Implement and optimize algorithms using modern computational frameworks and hardware acceleration
• Deploy algorithms in real-time and embedded environments with strict latency and compute constraints
• Define perception outputs (detections, tracks, classifications, confidence metrics) for downstream system consumers
• Validate performance using real-world data, simulation, and test events
• Mentor engineers and establish best practices across perception algorithm development
Qualifications:
Required:
• Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; fifteen or more years of experience with a bachelors degree, thirteen or more years of experience with a masters degree, or ten or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
• Strong background in probabilistic methods (e.g., Bayesian inference, filtering, estimation theory)
• Proficiency in Python and/or C++ for algorithm development
• Experience using modern numerical and computational libraries (e.g., NumPy, SciPy)
• Experience implementing and training models using frameworks such as PyTorch, TensorFlow, or similar
• Experience working with real sensor data (noise, calibration, artifacts, edge cases)
• Ability to obtain and maintain a DoD security clearance is required
Preferred:
• Experience with multi-target tracking, data association, or sensor fusion architectures
• Experience with GPU acceleration (CUDA, cuDNN, or similar)
• Familiarity with large-scale data pipelines and dataset curation
• Experience with both model-based and learned approaches for perception problems
• Experience with RF, radar, EO/IR, or other sensing modalities
• Experience optimizing models for deployment (quantization, pruning, performance tuning)
Company:
General Atomics Aeronautical Systems is an engineer, researcher and developers of advanced remotely piloted aircraft and systems. Founded in 1993, the company is headquartered in Poway, USA, with a team of 5001-10000 employees. The company is currently Late Stage.