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Senior Deep Learning Engineer Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and reliability in agricultural environments.

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning ...

NVIDIA Corporation

$152 - $288/hr

## Senior Deep Learning Software Engineer, InferenceApplylocations: US, CA, Remote: US, TX, Remote: US, NY, Remote: US, WA, Remote: US, MA, Remotetime type: Full timeposted on: Posted Yesterdayjob ...

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

As of Aug 20, 2026, the average yearly pay for senior deep learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Deep Learning Engineer vs Data Scientist?

AspectSenior Deep Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops and deploys deep learning models, often in AI teamsAnalyzes data, builds models, and provides insights across departments
Industry UsageTech, AI, and research companiesFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and programming knowledge, Senior Deep Learning Engineers focus on designing and implementing deep learning models, whereas Data Scientists analyze data to generate insights. The roles often collaborate but serve different primary functions within organizations.

What cities are hiring for Senior Deep Learning Engineer jobs?

Cities with the most Senior Deep Learning Engineer job openings:

What are the most commonly searched types of Deep Learning Engineer jobs?

The most popular types of Deep Learning Engineer jobs are:

What states have the most Senior Deep Learning Engineer jobs?

States with the most job openings for Senior Deep Learning Engineer jobs include:

Deep Learning Engineer

Carbon Robotics

Seattle, WA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Carbon Robotics is an innovative company focused on revolutionizing agriculture with advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and reliability in agricultural environments.
Responsibilities:
• 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
Qualifications:
Required:
• 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
• 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)
Preferred:
• 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
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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