Senior Computer Vision/AI Engineer
Instacart
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.
Overview
About the Role - We are seeking a highly skilled and experienced Senior AI/Computer Vision Engineer to join our dynamic team. As a key contributor to our research and development efforts, you will play a pivotal role in designing and building robust computer vision systems that can perceive, comprehend, and act upon the world around them. The ideal candidate will have a deep understanding of machine learning, neural networks, and computer vision techniques, along with a passion for tackling complex problems and creating market-leading products.
About the Team - The AI and CV team at Caper (Instacart) is dedicated to building state of the art solutions to enable a smooth checkout process in the grocery stores with smart carts. Our team of enthusiastic researchers and engineers are spread across different time zones, but collaborate effectively with each other on multiple exciting projects.
About the Job
- Lead the design, implementation, and optimization of computer vision algorithms that are effective and efficient.
- Develop deep learning models for real-time OCR, object detection, segmentation, and tracking.
- Collaborate with cross-functional teams to integrate AI/Computer Vision technology into our products and solutions.
- Conduct research and stay abreast of the latest advancements in the field to ensure our technology remains cutting-edge.
- Mentor junior engineers and lead by example, promoting a culture of technical excellence.
- Drive the end-to-end machine learning lifecycle, including data collection, model training, and deployment.
- Troubleshoot and optimize AI systems for performance and scalability.
- Document and present research findings and development processes.
About You
Minimum Qualifications
- Advanced degree (MS or Ph.D.) in Computer Science, Electrical Engineering, or a related field, with a focus on AI/Computer Vision.
- Minimum of 5 years of relevant experience in the design and deployment of AI models, particularly deep learning and computer vision.
- Strong programming skills in Python, C++, or other programming languages.
- Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Familiarity with cloud services (AWS, Azure, GCP) and edge computing.
- Proven track record of solving complex problems with real-world data.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication and leadership skills.
Preferred Qualifications
- Publications or a strong portfolio of projects in computer vision or related fields.
- Experience with 3D computer vision and sensor fusion.
- Knowledge of GPU programming and optimization.
- Experience with deploying AI solutions on mobile devices or embedded systems.
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.