ML Ops Engineer

The Job


At Overview we are building an end-to-end computer vision platform to democratize manufacturing’s access to state of the art deep learning. Delivering on reliable and accurate models is a key component of this. We are looking for someone who knows the ins and outs of DL infrastructure. 

Hands on responsibilities will include


  • Implement a high-efficiency CV/DL pipeline, including identifying and solving for bottlenecks
  • Choosing and implementing the best tools to strengthen our pipeline
  • Collaborate with our DL engineers to get high performing models into customers hands
  • Build, manage, scale our training pipeline
  • Developing tools that monitor models to ensure long term stability and accuracy
  • Figure out how to built models that don’t drift, can adapt to changes, etc…

Helpful Experience


  • Having deployed models to several platforms including edge devices and cloud
  • Having managed an end to end deep learning project from data collection to deployment
  • Experience with Docker
  • Experience with Python/C++
Who we are
 

Our team comes from all disciplines of engineering and some of the top names in technology and manufacturing including Tesla and Salesforce. We are all united by the goal of delivering real, tangible value to the world not with far-out R&D projects, but with actual products that are already shipping to customers around the US. We love the latest technology entering the computer vision world and are driven by the excitement of solving real-world problems on actual data and creating great user experiences in a traditionally clunky industry. We are backed by top-tier investors including Y Combinator and Bain Capital Ventures.

What we do

 

Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics. We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it’s the final inspection on a medical device or making sure a razor blade has a perfect edge.

It’s a great time to join us

 
  • Apply state-of-the-art deep learning algorithms on production data
  • Scale up IoT fleet
  • Join an agile and process light team
  • Be part of an engineering-first organization
  • Ship quickly
  • Work asynchronously
  • Create code that will be immediately used by real customers, solving real problems
  • Influence and define software process and release
  • Join a culture of inclusion, collaboration and engineering excellence
  • Work with colleagues who are thoughtful, motivated, smart and hard working
Russell Nibbelink Overview Co-founder

Russell Nibbelink

Co-founder & Head of Engineering
Russell is a co-founder and head of engineering of Overview. At Overview, Russell helps customers implement cutting edge high speed Deep Learning algorithms. Prior to joining Overview, he was a software engineer at Salesforce where he worked on web-scale infrastructure projects. Russell received his BS from UC Berkeley’s College of Engineering, where he helped teach a class on High Performance Computing.
Chris Van Dyke Overview CEO

Chris Van Dyke

Co-founder & CEO

Chris Van Dyke is a co-founder and the CEO of Overview. Prior to founding Overview, Chris spent eight years in manufacturing engineering at Tesla. Most recently, he led the 80 person battery design team through the launch of the Model 3. During which time he was principally responsible for taking the team from battery design to high-volume production. Earlier in his career at Tesla he managed the infrastructure and equipment design for the first Gigafactory project including equipment for supporting battery cell manufacturing. Chris also launched Tesla’s Electric Vehicle Supercharger Program, which currently has more than 16,000 stations nationwide.

Chris holds several patents from his time leading custom equipment design while a Senior Engineer at H2Gen Innovations. Chris received his BS from Stanford University in Mechanical Engineering and an MS from the University of Virginia in Chemical Engineering.

Austin Appel

Co-founder & Head of Product

Austin Appel is a co-founder and head of product of Overview. At Overview, Austin leads product development and operations. Prior to Overview, Austin spent four years at Tesla in roles across battery manufacturing and R&D. He led the DFM and automation efforts for Model 3 battery pack production at Tesla’s first Gigafactory. Previously he expanded Tesla’s production of Model S and X battery packs through equipment design and implementation. He holds a dual bachelors degree in Manufacturing Engineering and Mechanical Engineering from Northwestern University.