ML Ops Engineer

Sunnyvale, CA

Position Description

We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery. We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains. By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers.

Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on agriculture.

In this role you will help develop Blue River’s end-to-end Computer Vision/Machine Learning (CV/ML) Pipeline together with CI/CD for our CV/ML Product Engineering process. Your focus will be on code, versioning of datasets, models and production endpoints that will enable CV/ML Engineers, Robotics Engineers, Data Scientists to collaborate, experiment, productionize and scale fast.

What you will be doing:

  • Design and architect our advanced auto CV/ML pipeline infrastructure.
  • Work on CV/ML pipeline infrastructure implementation, deliver a higher-level of usability and reliability to our end user groups, support cloud based MLOps at scale.
  • Continuous Integration/Delivery for our internal user groups’ CV/ML projects.
  • Improve and advance DataOps and MLOps infrastructure and operational processes.
  • Support the internal user groups to make the best use of our CV/ML pipelines.

What we’re looking for:


  • 4+ years of industry experience in any of the MLOps, DevOps, Site Reliability areas.
  • Strong proficiency with Python.
  • Experience with AWS infrastructure or other cloud providers.
  • Experience with Jenkins or other CI/CD tools.
  • Understand basic ML practice and production workflows.
  • Experience with using Kubeflow/Kubernetes to build large scale production pipelines.
  • Ability to train our ML engineers/data scientists to make efficient/effective use of the pipelines

Nice to have:

  • Experience with infrastructure as code tools such as Terraform, Cloudformation.
  • Some experience/understanding of large scale data pipelines is helpful.
  • Some group leadership experience is a plus.

Blue River offers competitive compensation and benefits, including a great 401(K) match. We believe in a work life balance and offer generous Paid Time Off and Sick Leave as well as Paid Parental Leave and an adoption benefit. Subsidized lunches, flexible work hours, CalTrain passes (with mobile Wi-Fi!) and a collaborative and supportive environment also contribute to making Blue River a great place to work.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We support each employee living a full life, enabling a thriving career and accomplishing a meaningful, challenging mission with incredible people.

We have designed our work environment to allow us each to do our work effectively, be our best selves, and be exposed to the unexpected connections and experiences that support creative innovation - all while leaving room for the other things you love.

We have been operating as “mostly remote” during the pandemic. As we transition back to the office, we are introducing our Workplace Flexibility Model. Most roles will be based out of our Sunnyvale office and balance in-office time with flexibility to support other needs you have in your life. This flexibility could be used to reduce the Bay Area commute burden by working from home a couple days a week, support parent or caregiver needs, or allow space for you to do the other things you love, whatever that might be! There are times when achieving great work is more productive when working where you work best. That’s the point of this model...flexibility for you. A few roles will be approved as fully remote. Those are determined by managers and approved by our senior team.

We anticipate following this flexibility model as we continue to follow local guidelines and protocol around COVID.

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