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Volunteer Deep Learning Engineer Jobs (NOW HIRING)

KLA-Belgium

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

$150 - $200/hr

... Deep Learning Algorithm Engineer who is passionate about pioneering Deep Learning (DL), foundation ... Benefits * medical, dental, vision, life, and other voluntary benefits * 401(K) including company ...

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

... full-time Deep Learning Algorithm Engineer who is passionate about pioneering Deep Learning (DL ... voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP ...

Nvidia

Deep Learning Compiler Engineer

Redmond, WA

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large ...

Rocket Lab Corporation

Machine Learning Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) * Software engineering ... fundamentals: version control, testing, CI/CD, containerization * S. citizenship is required, due ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large ...

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How much do volunteer deep learning engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for volunteer deep learning engineer in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

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Volunteer Deep Learning Engineer jobs near you
Infographic showing various Volunteer Deep Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Sr. Computer Vision Engineer (Deep Learning)

Mountain View, CA • On-site

Harbinger Motors Inc.
See more jobs at Harbinger Motors Inc.external

$123K - $169K/yr

Full-time

Re-posted 26 days ago

Job description

We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. 


Responsibilities

  • Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
  • Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
  • Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
  • Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
  • Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
  • Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
  • Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.


Required Qualifications

  • 5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
  • In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
  • Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
  • Strong proficiency in Python and a deep understanding of software design principles and development best practices.
  • Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
  • Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
  • Proven ability to work effectively in a collaborative, cross-functional team environment.


Preferred Qualifications

  • Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.
  • Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).
  • Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
  • Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
  • Strong programming experience in Python and/or C++ within Linux development environments.
  • Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)

Apply