Deep Learning Quality Specialist
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?
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.
Ideal Location: Richland, WA, Salinas CA, Bakersfield CA, Yuma AZ
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 Deep Learning prioritize tasks based on impact to customer satisfaction
Knowledge, Skills, and Abilities for Success:
- 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
- Attention to detail with accurate data proficiency
- 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%
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:
$76,000—$115,000 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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