Senior Machine Learning Engineer, Caper

Instacart

61d • $169,000 - $226,000 • Remote

About The Position

As a Senior Machine Learning Engineer at Caper, you will shape the core of our carts experience by leveraging our sensor data to create scalable and effortless experiences for our customers. You’ll work alongside our computer vision, hardware, and front end engineers, to bring together our various sensor inputs that create an intuitive experience on our shopping carts. You will shape how we store, use, and fuse, data and signals on a variety of complex topics, while leveraging a variety of multi-sensor data

Requirements

• Master or Ph.D degree in ECE, Computer Science, Applied Maths or related fields.
• 3+ years experience in any of the following: sensor fusion, transformers, multi-modals, video understanding, and action/activity recognition
• Strong communication and presentation skills who can collaborate with diverse stakeholders
• Strong programming skills with one or more of these languages: Python, C++, Java/Kotlin
• Strong skills in data science tools (SQL, Pandas,..), and machine learning frameworks (Pytorch, Tensorflow, Scikit-learn, ...)
• Proven records on driving end-to-end ML solutions from research to production

Nice To Haves

• Experience in designing and implementing end-to-end ML system that can fuse multi-modality data and understand/interpret a complex spatial-temporal problem
• Knowledge of modern visual-language models and multi-modal AI systems
• Familiarity with A/B testing and experimentation methodologies in industrial settings
• Independent and self starter with the ability to identify and solve problems

Responsibilities

• Drive end-to-end ML solutions from research to production
• Develop multimodal models to fuse the signals from our various sensors
• Implement sophisticated model architectures, training and evaluation pipelines
• Deploy models at the edge on Nvidia Jetson platform
• Build infrastructure for collecting, processing and storing sensor data
• Influence system design and product vision by making informed decisions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees