Head of CV Engineering, Senior Manager - Caper.ai

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Job Description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.



You will help lead the development in building groundbreaking AI solutions for the brick-and-mortar store to revolutionize the overall in-store experience.

Instacart’s goal has always been to support grocers and give retailers of all sizes an edge in an increasingly competitive industry, while creating a seamless experience for customers and shoppers. With Caper AI we bring together online and offline shopping to create a completely new in-store shopping experience for both customers and Instacart shoppers alike.

To be successful in this role, you should have extensive experience in Machine Learning, Deep Learning, Computer Vision and you must also be an innovator, learner and team player.


Caper.ai is a subsidiary of Instacart and an AI company. It leverages cutting-edge AI and computer vision technology to bring the autonomous shopping experience to in-store. Its product, the Caper Cart - an AI-powered smart cart equipped with scales, sensors, touchscreens, and computer vision technology, is the cornerstone of the Instacart Platform Connected Stores initiative.

Caper’s unique technology is a plug-and-play solution that does not require retail store renovation, operational overhaul, heavy compute, and endless image labeling & training. Retailers simply purchase smart shopping carts and the entire store is upgraded with cashier-less capabilities!

Caper is one of the fastest-growing retail automation technology products in the market, costs less than 1% of our competitions’ infrastructure and is already widely adopted in the marketplace. Our cross-functional and durable Product team solves hard customer & business problems in ways that our customers love.


You will:

  • Lead and grow the CV engineering team for Caper.ai and revolutionize the retail industry
  • Lead and design CV solutions and architectures
  • Implement Deep Learning CV algorithms as well as traditional CV algorithms
  • Keep up with trending CV research and bring innovations/tricks to custom model
  • Optimize algorithms for speed, accuracy, user experience
  • Build fast and solid pipelines to serve the CV algorithms and models
  • Work across teams to improve CV performance and experience



  • 8+ years of experience in the Computer Vision industry
  • 1-4 years of management experience
  • Lead the R&D of robust and large scale computer vision applications before
  • Have strong computer vision knowledge across traditional computer vision to deep
  • Familiar with cutting-edge algorithms commonly used in CV
  • Have strong knowledge of general Machine Learning and Deep Learning including
  • Machine Learning infrastructure, model optimization, model deployment, and serving,
  • data pipelines, and workflows, etc.
  • Familiarity with embedded Computer Vision applications.
  • Able to track cutting-edge academic work and pick proper ones for implementation.
  • Have strong communication and teamwork skills
  • Familiarity with the Nvidia ecosystem


  • Led technology development and project ownership within a CV team before
  • Has distributed training environment experience
  • Familiar with Nvidia CUDA tech stack and familiar with C++
  • Masters+ degree in Computer Science or other related subjects
  • Has experience in the embedded system industry before e.g. robots, cameras, drones, AR/VR devices, etc.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.


$252,000—$280,000 USD


$241,000—$268,000 USD


$231,000—$257,000 USD

All other states

$210,000—$233,000 USD

Accommodations & Accessibility

At Instacart, we strive to create an accessible and inclusive experience for all candidates. If you need assistance submitting an application through our career site due to a disability, please submit an Accommodations Request Form and someone from our team will reach out soon to see how we may be able to assist.

Company Info.


Instacart is an online grocery delivery and pick-up service. The service allows customers to shop for groceries online from various retailers and have them delivered to their doorstep. Instacart partners with a number of grocery stores, including popular chains like Whole Foods, Costco, and Safeway, to offer customers a wide selection of products. Customers can place orders through the Instacart app or website, where they can browse products, add

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    Blue Shield of California Building, San Francisco, CA, USA
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