Analytical and Problem solving, Apache Beam, Databricks, Jupyter Notebook, MLOps tools, Python Programming, Spark Core, SQL
OUR MISSION
Mineral’s mission is to discover the intelligence of plantkind to feed and protect humankind. Our technology embraces the complexity of nature, unlocking agriculture data so the world can reimagine sustainable food production. This means leveraging advanced technology and use of AI across the total plant ecosystem to turn complex data into understandings that enable greater efficiency, productivity and sustainability.
Agriculture background preferred but not required — just the curiosity and passion to learn. If you are excited to make a difference in global food production and help work toward a more sustainable future for agriculture, we’d love to talk with you.
The Role:
Location: US (Remote), travel to Mountain View, CA at most 1 week per month (more initially).
This is an opportunity to combine your agronomic understanding with your passion for data in ways that expand the efficiency of our MLOps pipelines. You'll be working on projects at the intersection of agriculture, big data and AI. As part of our team you will ensure we are collecting the right kinds of images, from diverse locations & times of the year, and labeling them to the appropriate standard. You'll partner with our modeling team who train, validate, and deploy perception models in production agriculture environments. You’ll have the opportunity to problem solve and be a part of the development of products that transform this space.
If you are a Data Engineer with a passion and background in weed science / agronomy, and are excited to make a difference in global food production and climate change, we’d love to talk with you.
How you will make an impact:
What you should have:
It would be great if you also had these:
The US base salary range for this full-time position is $117,500 - $180,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google
At Mineral, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Mineral, an Alphabet company, is working to make the world’s food system more productive and more sustainable. Since 2017, Mineral has been working to harness the power of artificial intelligence (AI), machine learning (ML), and perception technology to unlock more sustainable ways to feed humankind while protecting the planet. Many of the agriculture and food industry’s most influential companies and research institutes already use Mineral techn