The Carbon Robotics LaserWeeder™ implement uses precision computer vision and sophisticated AI to kill weeds with millimeter accuracy. Laserweeding delivers consistency that puts growers back in control of their schedules amid labor shortages, chemical complexity, and rising costs. For high-density crops, laserweeding is the only automated solution. Designed in Seattle and built in Detroit, it’s the future of weed control.
We’re a team who wants more! Carbon Robotics offers more! More Professional Growth, Bigger Problems to Solve, Mission Driven Progress in every task! There’s interesting problems with a Breadth of Exposure because Laser Weeding touches more than you think!
We are a no-nonsense team of passionate people with a bias for action. We know that our ability to execute on our ideas is what sets us apart. We do what we say we are going to do, externally and internally. We trust our people to act independently and make practical, real-world decisions.
Join the weeding revolution and follow Carbon Robotics on LinkedIn, YouTube, Twitter and Instagram.
Are you ready to help us design and build our LaserWeeder that solve real problems in our food supply?
Carbon Robotics launched the world’s first and only commercial LaserWeeder in the world.
We’re always looking for Deep Learning Engineers that want more! We offer more! More Professional Growth, Bigger Problems to Solve, Mission Driven Progress in every task! There’s interesting problems with a Breadth of Exposure because Laser Weeding touches more than you think!
We are a no-nonsense team of passionate people with a bias for action. We know that our ability to execute on our ideas is what sets us apart. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. We trust our people to act independently and make practical, real-world decisions.
#laserweeding = Computer Vision + AI/ML/Deep Learning models + High Performance Algorithms +
Robotics + Lasers displayed with Customer Centric UI.
Join the weeding revolution! In this role, your primary engagement will be to train Carbon's vehicles using Object Detection and Deep Learning.
Are you ready to help design our line of laserweeders that solve real problems in our food supply?
As a Deep Learning Engineer at Carbon Robotics, you will be at the forefront of training Carbon's advanced vehicles using Object Detection and Deep Learning technologies. Your contributions will directly impact the development of our innovative line of laser weeders, addressing critical challenges in our food supply chain.
Are you ready to help design our line of laserweeders that solve real problems in our food supply?
What you’ll do:
- Design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.
- Build quickly through ownership and collaboration with Engineering and Product Management
Knowledge, Skills, and Abilities for Success:
- Worked as a Deep Learning Engineer or Data Scientist develop and executing computer vision deep learning model design and experimentation using Python and/or C++ for 2+ year( For Senior, 5+yrs)
- Implement model improvements in training code (Python) and/or robotics execution environment (C++)
- Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
- Work with product leads to define achievable tasks for ML models
- Experience in Deep learning model optimization and deployment.
- BS+ in Computer Science, Data Science, or related field - software engineering background are strongly preferred.
Qualified applicants will receive a short survey after applying to help the team learn more about you.
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.
Carbon Robotics' base salary pay range:
$150,000—$180,000 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
- 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
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.
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What We Do
Carbon Robotics, a Seattle-based agricultural robotics startup founded in 2018, builds innovative agricultural tools that empower farmers to operate more efficiently. Carbon Robotics’ revolutionary, high-precision laserweeding leverages sophisticated AI technology to improve crop quality, provide safer working conditions for farmers, reduce overall costs associated with modern farming, and create sustainable paths to regenerative and organic farming. The company has received $72 million in funding to date.
What’s it like working at Carbon Robotics? We are a no-nonsense team of passionate people with a bias for action. We know that our ability to execute on our ideas is what sets us apart. We do what we say we are going to do, externally and internally. We trust our people to act independently and make practical, real-world decisions.
Why Work With Us
The Carbon Robotics LaserWeeder™ implement uses precision computer vision and sophisticated AI to kill weeds with millimeter accuracy. Laserweeding delivers consistency that puts growers back in control of their schedules amid labor shortages, chemical concerns, and rising costs. For high-density crops, laserweeding is the only automated solution.
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Carbon Robotics Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We encourage flexibility with a mix of in office, field and remote options.
