Overview.ai announces Series A funding!
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ML Ops Engineer

  • Full Time/Remote
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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
Apply Now

Company

Product

Contacts

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Russell Nibbelink Overview Co-founder

Russell Nibbelink

Co-founder & Head of Engineering

Russell Nibbelink is the head of engineering and a co-founder at Overview. At Overview, he leads the team that helps customers implement cutting-edge, high-speed deep learning algorithms to reduce manufacturing waste and defective parts. 

Before joining Overview, Russell was a software engineer at Salesforce, where he worked on web-scale infrastructure projects. His many accomplishments at Salesforce include the migration of Salesforce’s largest customers to upgraded hardware with no downtime, live database change record ingestion, and the creation of visibility tooling for calculating data throughput rates.

Russell received his Bachelor of Science from the University of California Berkeley College of Engineering, where he was also the head teaching assistant in the field of High Performance Computing.

Chris Van Dyke Overview CEO

Chris Van Dyke

Co-founder & CEO

Chris Van Dyke is the CEO and co-founder of Overview. He is responsible for the company’s strategic direction, corporate development, sales and marketing. With over 16 years of engineering and manufacturing expertise, Chris focuses on optimizing customer’s manufacturing operations using artificial intelligence and computer vision to accelerate product development, reduce rework, and improve yields. Since founding Overview in 2018, Chris has been instrumental in building a company and team dedicated to a disruptive, positive impact on manufacturing for decades to come. 

Before Overview, Chris served in several senior manufacturing engineering positions at Tesla for eight years. For Tesla’s Model 3, he led the 80-person battery design team from the initial battery concept to the product launch to the high-volume production. He also managed the infrastructure and equipment design for the first Gigafactory, including equipment for supporting battery cell manufacturing. Chris also launched Tesla’s Electric Vehicle Supercharger Program, with more than 25,000 stations worldwide. 

Prior to Tesla, Chris was a senior engineer at H2Gen Innovations, during which time he co-authored multiple patents. Chris holds a Bachelor of Science degree in Mechanical Engineering from Stanford University and a Master of Science in Chemical Engineering from the University of Virginia.

Austin Appel

Co-founder & Head of Product

Austin Appel is the head of product and a co-founder at Overview, where he is responsible for leading product development and operations. With over 8 years of experience in manufacturing and systems engineering, Austin works with customers to ensure that manufacturing operations can quickly adopt and use artificial intelligence-based computer vision systems.

Before Overview, Austin spent four years at Tesla in various capacities, including battery manufacturing, and research and development (R&D). He led the design for manufacturability (DFM) and automation efforts for the Model 3 battery pack production at Tesla’s first Gigafactory. Earlier at Tesla, he expanded the production of Model S and X battery packs through equipment design and implementation.

Austin holds a dual Bachelor of Science degree in Manufacturing Engineering and Mechanical Engineering from Northwestern University.