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Resnet Jobs in California (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

All JobsResnet JobsResnet Jobs in California

Resnet information

What is a Resnet?

A ResNet job typically involves working with deep learning models based on Residual Networks (ResNet), which are widely used for image recognition and computer vision tasks. Professionals in this role may design, train, and optimize ResNet architectures for applications such as medical imaging, autonomous vehicles, or facial recognition. The job often requires expertise in machine learning frameworks like TensorFlow or PyTorch, as well as proficiency in Python and GPU acceleration.

What does a Resnet technician do?

As a ResNet technician, your daily responsibilities usually include responding to service requests from residents, diagnosing and resolving network connectivity issues, and maintaining residential network equipment. You may also perform scheduled maintenance on wireless access points, educate users about proper network practices, and document your troubleshooting efforts in ticketing systems. You can expect to collaborate closely with your IT team, interact directly with residents, and occasionally assist with larger network upgrades or installations. This hands-on role is ideal for those who enjoy problem-solving and making a direct impact on user satisfaction.

What skills and qualifications are needed to thrive as a Resnet technician?

To thrive as a ResNet technician, you need a strong understanding of computer networking, troubleshooting, and customer service, often supported by relevant IT certifications or coursework. Familiarity with network management tools, wireless access point configuration, and ticketing systems is typically required. Excellent problem-solving skills, patience, and the ability to communicate technical information clearly are valuable soft skills in this role. These abilities ensure reliable network support for residents, minimize downtime, and foster a positive user experience in residential environments.

What are popular job titles related to Resnet jobs in California?

For Resnet jobs in California, the most frequently searched job titles are:

What job categories do people searching Resnet jobs in California look for?

The top searched job categories for Resnet jobs in California are:

Resnet jobs near you
Infographic showing various Resnet job openings in California as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 94% Physical, and 6% Remote job distribution.

AI/ML Workloads Engineer

Braves Technologies

San Jose, CA

Full-time

Re-posted 25 days ago

Job description

The Role: Senior/Staff/Principal Research/SW Engineer (ML Workloads)  


The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the Software team, you will be responsible for the development, enhancement, and maintenance of the development and testing infrastructure for development of next-generation AI hardware. This includes the software development repo, and the testing infrastructure for the Compiler, Kernels, and will utilize simulators, FPGAs, Emulation and the chip as test platforms. You are able to build and scale software deliverables in a tight development window.   You will work with a team of compiler and ML experts to build out the testing infrastructure working closely with other software and hardware experts in the company.


Qualifications 

Minimum: 

  • Computer Science, Engineering, Math, Physics or related degree
  • MS or PhD in Computer Science, Electrical Engineering, or related fields
  • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
  • Strong theoretical understanding of machine learning
  • Experience implementing and optimizing ML workloads and low-level software algorithms for specialized hardware such as FPGAs, DSPs, DL accelerators.
  • Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, BW and compute
  • Experience with ML Models from definition to deployment including training, quantization, sparsity, model preprocessing, and deployment
  • Proficient in Python development in Linux environment and using standard development tools
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow)
  • Experience training, tuning and deploying ML models for CV (ResNet,..), NLP (BERT, GPT), and/or Recommendation  Systems (DLRM)
  • Experience deploying ML workloads on distributed systems
  • Self-motivated team player with a strong sense of ownership and leadership

Desired: 

  • Research background with publication record in ML conferences such as ICML, NeurIPS, ICLR,...
  • Prior startup, small team or incubation experience
  • Work experience at a cloud provider or AI compute / sub-system company
  • Experience implementing SIMD algorithms on vector processors
  • Experience with open-source ML compiler frameworks such as MLIR  

Apply