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 less 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
- 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.
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