Deep Learning Engineer

Carbon Robotics•Seattle, WA

1d•$140,000 - $220,000•Onsite

About The Position

As a Senior Deep Learning Engineer at Carbon Robotics, you will take ownership of designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field. You will drive technical direction on model architecture, lead experimentation on complex problems, mentor junior engineers, and collaborate closely with Engineering and Product to translate research into production impact.

Requirements

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)
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)
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

Nice To Haves

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

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

Benefits

Competitive salaries
Pre-IPO Stock Options
Generous Benefits: Fully-paid medical, dental, and vision insurance premiums for you and all dependents
Choice of PPO or HDHP/HSA
Virtual Care - Doctor on Demand
Employee Assistance Program
Mental Health HRA
Restricted Healthcare Travel support
Menopause Support
Life Insurance
Long Term Disability
Flexible PTO
401(k) plan
Pet Insurance
Commuter Benefits