Blue River Technology

Blue River Technology is a team of innovators focused on radically changing agriculture through intelligent machinery. They empower farmers with sustainable solutions by optimizing chemical usage,…

www.bluerivertechnology.com

Blue River Technology

Blue River Technology is a team of innovators focused on radically changing agriculture through intelligent machinery. They empower farmers with sustainable solutions by optimizing chemical usage,…

www.bluerivertechnology.com

HQRemote

Team Size327

Open JobsUnknown

Total Funding$31M

Latest Fundraise10 years ago

TL;DR

Core product: See & Spray — plant-level computer vision and precision spraying

Tech focus: Computer vision, deep learning, robotics for agriculture

Acquisition: Acquired by John Deere in September 2017

Notable investors: Khosla Ventures, Data Collective, Monsanto Growth Ventures

Company Overview

Problem Domain

Agricultural weed control and precision crop protection

Industry

AgTech / Agricultural Robotics

Funding Track Record

Series A- 2012-09-10

3100000.00

Series A announced Sept 10, 2012

Series A-1- 2014-03-19

10000000.00

Follow-on announced Mar 19, 2014

Series B- 2015-12-16

Series B announced Dec 16, 2015; participants included Syngenta Ventures and Monsanto Growth Ventures

Investor Signal

“Venture-backed with participation from strategic ag investors (e.g., Monsanto Growth Ventures, Syngenta Ventures) and prominent VCs (e.g., Khosla Ventures, Data Collective)”

Founders

What we do

Join the Team

Image Signal Processing Engineer

RemoteRemote (US), US

Remote • Remote (US), US

Who you are

You have an analytical mind and take a data-driven approach to answering questions
Bachelor's or Master's degree in Computer Science, Data Science, Physics, or a related field
6+ years of related experience
Proficiency in Python and C++, including CUDA development
Strong problem-solving and analytical skills with a keen attention to detail
Ability to work collaboratively in a team environment and effectively communicate complex technical concepts
Passion for emerging technologies, artificial intelligence, and computer vision
Prior experience or coursework in CVML and ISP projects or research
Familiarity with deep learning frameworks, such as PyTorch or TensorFlow
Familiarity with agriculture technology, agronomy, or farming

What the job involves

Startup jobs. A lot of them.

Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.

52,000+

Startups

65,000+

Open Roles

1,400+

New This Week

Product Designer

Full-timeSan Francisco, US

Full-time • San Francisco, US

Mobile Developer

Part-timeLondon, GB

Part-time • London, GB

Product Designer

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

DevOps Engineer

Full-timeNiš, RS

Full-time • Niš, RS

Technical Writer

Part-timeNiš, RS

Part-time • Niš, RS

DevOps Engineer

ContractNew York, US

Contract • New York, US

We are looking for a highly motivated individual to join our team as an Image Signal Processing engineer

This position supports the See & Spray CVML (Computer Vision Machine Learning) team within Blue River Technology

It is at the intersection of Image processing pipelines (ISP) development, image quality assessment, and ML modeling

Our ideal candidate (you!) will play a crucial role in implementing a state-of-the-art ISP for the See & Spray project

Your contributions will be instrumental in driving the success of our machine learning initiatives

You'll be designing, implementing, and improving image signal processing within Blue River Technology’s See & Spray system

Optimizing and understanding the benefits of specific operations such as demosaicking, color correction, and tonemapping on image quality for both human and machine vision

Analyzing approaches to interaction between image signal processing and convolutional neural networks

Quantifying and measuring image signal processing software quality across varied conditions and scene compositions

Working with teams to improve overall system abilities, detection performance, and consistency

Building processing time-constrained algorithms and architecturing efficient implementations for edge and cloud applications