Carbon Robotics LaserWeeder G2
Carbon Robotics Logo

Carbon Robotics

Deep Learning Quality Specialist

Reposted 12 Hours Ago
Easy Apply
Hybrid
Seattle, WA
72K-80K Annually
Junior
Easy Apply
Hybrid
Seattle, WA
72K-80K Annually
Junior
As a Deep Learning Quality Specialist, you will maintain datasets, assist in diagnosing deep learning models, conduct field tests, and ensure product reliability for LaserWeeder technology.
The summary above was generated by AI

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation.

As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it’s designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. 

Working here means tackling big problems with big impact. You’ll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. 

Join us as we innovate, execute, and build the future of farming together.

YouTube | X | Instagram | LinkedIn | News

As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.

Are you ready to help design our line of LaserWeeders that solve real problems in our food supply?

What you’ll do:

  • Audit data to ensure clean and appropriate datasets
  • Look through imagery and correct labels and classifications then give feedback to labelers
  • Work closely with support to help investigate issues and determine what is needed to insure data integrity
  • Review data irregularities detected by automated tooling
  • Validate solutions, document results and record customer feedback
  • Translates field tests, model issues and analyze customer feedback
  • Prepare cases for field personnel to review labels/predictions
  • Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success:

  • Education or professional experience in Agronomy or Farming
  • Data annotation experience 
  • Highly motivated, independent thinker with great problem solving skills
  • Highly organized with excellent time management to juggle multiple priorities at the same time
  • Collaboration skills to work with customers and internal teams simultaneously
  • High level of attention to detail & the ability to think strategically
  • Detail-oriented, with proven ability to deliver accurate reporting
  • Intermediate to advanced Google Suite and Confluence skills desired
  • Ability to assess high risk situations & make safe independent decisions on a risk based process
  • Traveling required - 15-25%  

Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted.  The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work.

Offers are dependent on someone experience and may be outside of the published range when appropriate.  If your skills are above the posted range... Apply! We want to hear from you! 
Carbon Robotics' base salary pay range:
$72,000$80,000 USD

Why would you join Carbon Robotics?

Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do.  Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.

We offer competitive compensation and benefits to our full time US based* employees, including:

  • 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
  • Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.

*Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock

Carbon Robotics is building a culture of diversity and inclusion for all.  We welcome everyone’s voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment.

We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

#talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics


Top Skills

AI
Computer Vision
Confluence
Deep Learning
Google Suite

Similar Jobs at Carbon Robotics

2 Days Ago
Easy Apply
Hybrid
Seattle, WA, USA
Easy Apply
180K-200K Annually
Mid level
180K-200K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
As a Robot Systems Software Engineer, you'll develop AI and robotics software, improve machine learning pipelines, and collaborate with teams to ensure reliable products.
Top Skills: BashC++DockerGitGrpcLinuxPythonRest
2 Days Ago
Easy Apply
Hybrid
Seattle, WA, USA
Easy Apply
130K-290K Annually
Mid level
130K-290K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
The Deep Learning Engineer designs experiments for new models, optimizes them for deployment, documents findings, and integrates with robotics software.
Top Skills: Computer VisionDeep LearningMachine LearningObject DetectionVision Transformers
3 Days Ago
Easy Apply
Hybrid
Seattle, WA, USA
Easy Apply
100K-150K Annually
Mid level
100K-150K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
The Accounting Manager will oversee core accounting functions, including monthly close processes, managing the general ledger, supervising AP and AR operations, and ensuring compliance with US GAAP.
Top Skills: NetSuiteUs Gaap

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account