Careers

Sales manager for Idaho/US

Agro-scout offers early detection crop scouting of bugs and disease in field crops using deep learning algorithms to allow quick, efficient detection, identification, and monitoring for the entire field. The service is cloud-based and is available anytime, anywhere. Agroscout offers drone and smartphone software that enable simple image collection.

 

We are looking for representation in Idaho

You will:

  • Achieve sales goals and execute sales plans within an assigned medium to large size sales territory and/or level of account(s).
  • Focus on personal sales targets, new business development and troubleshooting on problem or key local market accounts.
  • Proficiently demonstrate using Mavic 2 pro during field demo(s) with potato & tomato growers – which encompasses the Agro-scout mobile app, Agro-scout (Sky) app for flying the drone and also uploading images for the Agro-scout cloud based platform.
  • Spend a majority of time developing relationships with farmers to earn business.
  • Establish and maintain effective public relations through customer education and the promotion of Agro-scout platform.
  • Work with customers in a courteous and professional manner.
  • Perform other duties as needed or assigned.
  • Work extended hours in-season to meet business demands.
  • Maintain and promote a strong safety culture and follow all safety policies, procedures and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions.

Basic Qualifications (required):

3 plus years of Agronomy sales or related sales experience

Ability to work extended hours in-season Preferred Qualifications (desired):Part 107

 

Experience with:

Familiar with DJI drones preferred (part 107) but willing to train right candidate.

Extensive knowledge of agronomy, including specialty crops – specifically potato & tomato. Relationship building with internal and external customers.

Manage multiple priorities in a fast-paced environment with rapidly shifting priorities.

 

 

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Experienced SW QA Automation Engineer

At AgroScout, we develop AI algorithms for early detection of pests and disease in a growing number of field crops. The raw data is gathered and entered into the system using autonomous drones and cameras. Our app enables the user to easily to mark the field or area they want to scout and to dispatch the drone to collect the required data. The data is scanned and analyzed in our web-based AI analysis and reporting platform to identify the pests and disease. Additionally, we have a global network of agronomists who analyze the findings. Growers and agronomists have access to each geo-tagged image as well as the complete findings reports 24/7 via the mobile app and desktop. This knowledge allows growers to make better decisions for reducing pesticide use, improving yields, and increasing profits.

We are looking for a QA engineer to be part of a development team performing tests of diverse projects and ensuring product quality.

In this role you will analyze and review design documentation, plan and create test cases and execute test scenarios for products and features. Design and implement manual and automated testing for service level, web and mobile. Investigate, analyze and document reported defects and issues raised by support and billing groups.

 

Required qualifications:

  • Sc. in Computer Science or equivalent technical degree.
  • Vast experience in QA methodologies and processes.
  • Experience in automated tests development – Web UI & Integration (API).
  • Experience in various testing frameworks, Mocha and Chai – a huge advantage.
  • Experience in code writing, Node JS – an advantage.
  • Experience in creating test plans.
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Web/BE/Full-Stack Developer

At AgroScout, we develop AI algorithms for early detection of pests and disease in a growing number of field crops. The raw data is gathered and entered into the system using autonomous drones and cameras. Our app enables the user to easily to mark the field or area they want to scout and to dispatch the drone to collect the required data. The data is scanned and analyzed in our web-based AI analysis and reporting platform to identify the pests and disease. Additionally, we have a global network of agronomists who analyze the findings. Growers and agronomists have access to each geo-tagged image as well as the complete findings reports 24/7 via the mobile app and desktop. This knowledge allows growers to make better decisions for reducing pesticide use, improving yields, and increasing profits.

 

We are looking for a Web/BE/Full-Stack developer to join our talented and passionate development team.

Your main responsibilities will be developing and maintaining our core product, using mainly Angular with Typescripts & NodeJS while considering optimization and scalability.

In this role you will be responsible for the product-oriented web – FE/BE development process, to develop and implement new features that directly impact our customers, identify issues, and implement solutions to complex, large scale, front-end problems and integrate data from various back-end services and databases.

Required qualifications:

  • Sc. in Computer Science or equivalent technical degree.
  • 3 years and up of relevant experience – Angular/Type scripts/NodeJS.
  • Experience with AWS – an advantage.
  • Good understanding of the HTTP protocol.
  • Some experience with connecting to external API.
  • strong communication skills.
  • Proactive approach and out of the box thinking.
  • Good communication and team player.
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Mobile Developer iOS/Android

At AgroScout, we develop AI algorithms for early detection of pests and disease in a growing number of field crops. The raw data is gathered and entered into the system using autonomous drones and cameras. Our app enables the user to easily to mark the field or area they want to scout and to dispatch the drone to collect the required data. The data is scanned and analyzed in our web-based AI analysis and reporting platform to identify the pests and disease. Additionally, we have a global network of agronomists who analyze the findings. Growers and agronomists have access to each geo-tagged image as well as the complete findings reports 24/7 via the mobile app and desktop. This knowledge allows growers to make better decisions for reducing pesticide use, improving yields, and increasing profits.

We are looking for a Senior/Junior Mobile Developer to join our talented team responsible for developing iOS/Android applications that integrate with drones to allow quick and efficient detection, identification, and monitoring of crop diseases the end user’s fields.

In your role you will be responsible for design, to write and maintain large scale applications end-to-end, ensure the performance, quality, and responsiveness of the DJI SDK, and to help maintain code quality, organization, and automation.

 

Required qualifications:

  • Sc. in Computer Science or equivalent technical degree.
  • At least 3 years of experience developing native iOS/Android Apps.
  • Full understanding of IOS/Android architecture.
  • Hands on experience in managing apps released to the store.
  • Experience in working with DJI SDK – an advantage.
  • Understanding of design principles and interface guidelines.
  • Proactive and out of the box thinking.
  • Good communication and team player.
  • Strong sense of ownership.

 

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Senior Deep-Learning Computer-Vision and Algorithms Engineer

At AgroScout, we develop AI algorithms for early detection of pests and disease in a growing number of field crops. The raw data is gathered and entered into the system using autonomous drones and cameras. Our app enables the user to easily to mark the field or area they want to scout and to dispatch the drone to collect the required data. The data is scanned and analyzed in our web-based AI analysis and reporting platform to identify the pests and disease. Additionally, we have a global network of agronomists who analyze the findings. Growers and agronomists have access to each geo-tagged image as well as the complete findings reports 24/7 via the mobile app and desktop. This knowledge allows growers to make better decisions for reducing pesticide use, improving yields, and increasing profits.

Your Mission

  • Prepare input image sets, develope models and set parameters for AI machine vision
  • Run models on TensorFlow / Keras
  • Results Analysis – Run tests and improve models until the required results are reached

Requirements

  • Solid understanding of Deep Learning and Computer Vision – Must
  • 3-5 Years of hands-on experience with developing & deploying Deep Learning networks for Computer Vision tasks – Must
  • Experience with Objects Detection networks in images
  • Experience in development and deployment of image processingalgorithms with Opencv
  • 3 years of experience in developing Python microservices
  • Experience in Linux
  • Experience with Oracle / AWS / SQL – Advantage
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