Inactive

Verdant Robotics

Autonomous robotic farming implements with analytics

Machine Learning Devops Engineer

DevOps & Infrastructure +2Posted on Jul 19, 2023

Full-timeHayward, CA, USANo salary listed

About the Job

Requirements

Bachelor's degree in Computer Science, Robotics, or any related engineering field
Building end-to-end systems as a Platform Engineer, Machine Learning Operations (ML Ops) Engineer, Development Operations (DevOps) Engineer, Data Engineer, or equivalent
Linux operating system (desktop, server, or embedded)
Development tools, including Git, GitLab/GitHub, JIRA, Jenkins, Docker, etc
Scripting languages (e.g., bash, python)
Configuration management, infrastructure as code, continuous integration and delivery, deployment pipelines, automated testing, and release management
Strong understanding of software testing, benchmarking, and continuous integration
Exposure to machine learning methodology and best practices
Desire to further robotic technology in an environmentally friendly way

Responsibilities

Design data pipelines and engineering infrastructure
Improve the performance, maintainability, and reliability of our systems
Apply software engineering best practices to machine learning, including CI/CD, automation, etc
Support model and data audibility, versioning, and security
Facilitate the development and deployment of proof-of-concept machine learning systems
Communicate across multiple teams to build requirements and track progress
Continuously manage risk
Use lean software development techniques
Translate business needs into technical requirements

Join us at Verdant Robotics as we revolutionize agriculture through robotics and AI. We use computer vision and machine learning to understand every part of every plant at a massive scale -- and with automated robotics, we close the loop and act on that information in real-time. Our unique digital-twin and mm-accurate spraying technology unlocks phenomenal increases in productivity and efficiency - helping farmers grow more profitability with fewer inputs, realizing savings from day one.

As a Machine Learning Development Operations (ML DevOps) Engineer, you will collaborate with the CTO and Engineering team to expand the scope and capabilities of our machine learning production infrastructure. Our engineers have a wide range of experience in robotics, space, and autonomous driving, but AgTech is a young field that requires new ideas. You will help us invent and build the toolkit of ML development that will best serve our research, development, and operations.

Our office is located in Hayward, CA about 25-30 mins average commute from most places in the Bay Area. We offer competitive pay and a great team environment.

What You Will Do

Design data pipelines and engineering infrastructure
Improve the performance, maintainability, and reliability of our systems
Apply software engineering best practices to machine learning, including CI/CD, automation, etc.
Support model and data audibility, versioning, and security
Facilitate the development and deployment of proof-of-concept machine learning systems
Communicate across multiple teams to build requirements and track progress
Continuously manage risk
Use lean software development techniques
Translate business needs into technical requirements

Your Experience Will Likely Include

Bachelor’s degree in Computer Science, Robotics, or any related engineering field
Building end-to-end systems as a Platform Engineer, Machine Learning Operations (ML Ops) Engineer, Development Operations (DevOps) Engineer, Data Engineer, or equivalent
Linux operating system (desktop, server, or embedded)
Development tools, including Git, GitLab/GitHub, JIRA, Jenkins, Docker, etc
Scripting languages (e.g., bash, python)
Configuration management, infrastructure as code, continuous integration and delivery, deployment pipelines, automated testing, and release management
Strong understanding of software testing, benchmarking, and continuous integration
Exposure to machine learning methodology and best practices
Desire to further robotic technology in an environmentally friendly way

Verdant Robotics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.

About the Company

Verdant Robotics

Autonomous robotic farming implements with analytics

Verdant Robotics builds automated farming technology using autonomous robotic implements and data analytics to manage crop applications. It sells robotic hardware and provides ongoing maintenance and data services to optimize field operations. The robots use precision navigation to apply inputs exactly where needed, reducing overspray while operations stay under human supervision. The goal is to help farmers increase profitability and sustainability by offering scalable, field-ready solutions that improve labor efficiency, input use, and crop health.

Company size: 51-200
Company stage: Series A
Total funding: $58M
Headquarters: Hayward, CA
Founded: 2019

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