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Commission Deep Learning Engineer Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ... Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ... Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are ...

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123.70K - $169.90K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

NVIDIA AI

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

They are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including ...

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Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

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How much do commission deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for commission deep learning engineer in the United States is $94,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $108,000.00 per year, depending on experience, location, and employer.
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Commission Deep Learning Engineer jobs near you
Infographic showing various Commission Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 43% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $94,924 per year, or $45.6 per hour.
Deep Learning Engineer

Deep Learning Engineer

Carbon Robotics

Seattle, WA

Other

Posted 12 days ago

Job description

Deep Learning Engineer 

As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field. 

What You'll Do

  • Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
  • Own model optimization and deployment pipelines - ensuring high performance, reliability, and scalability across operational field deployments
  • Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
  • Define best practices for experimentation, documentation, and model evaluation within the team
  • Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
  • Mentor and provide technical guidance to mid-level and junior engineers
  • Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences

Knowledge, Skills & Abilities

  • 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems
  • Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions
  • Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform
  • Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment
  • Proven track record taking ML projects from inception through business impact - including data strategy, pipeline development, experimentation, and deployment at scale
  • Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond)
  • Experience in autonomous driving or ADAS is a plus - background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
  • Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes
  • Strong verbal and written communication skills - able to explain complex model behavior and tradeoffs to non-technical staff and customers
  • Experience mentoring engineers and contributing to team technical culture

Requirements

  • 2-7 years of experience in deep learning model optimization and deployment
  • BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience)


In Office Requirements

  • We're a collaborative, in-person team - this role is based in our Seattle office with at least 4 days per week on-site

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