Instacart is looking to redefine the in-store shopping experience by leveraging cutting-edge technology and AI-driven insights for their smart cart experience.
Requirements
- Proficiency in programming languages such as Python, C++, or Java/Kotlin.
- Strong experience with data science tools (e.g., SQL, Pandas) and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Hands-on experience with embedded AI devices, notably the Nvidia Jetson platform.
- 3+ years of experience developing and deploying machine learning models and implementing sensor fusion in production environments.
- Experience working with large language models (LLMs) or vision-language models (VLMs).
- Familiarity with A/B testing methodologies and experimentation in industrial environments.
- Exposure to hardware product development, onboard edge computing, and signal processing challenges.
Responsibilities
- Build and improve core weight sensing models to enhance shopping cart accuracy and usability.
- Develop robust sensor fusion models by integrating multiple sensor inputs.
- Improve signal quality and ensure consistency across sensor data streams.
- Design and execute experiments to generate actionable sensor data.
- Deploy machine learning models on edge devices, such as the Nvidia Jetson platform.
- Create infrastructure to collect, process, and store sensor data efficiently.
- Contribute to redefining the in-store shopping experience by leveraging cutting-edge technology and AI-driven insights.
Other
- Master’s or Ph.D. in Electrical and Computer Engineering (ECE), Computer Science, Applied Mathematics, or related fields.
- Strong problem-solving, analytical, and experimental skills.
- Excellent communication and presentation skills, with a track record of productive cross-functional collaboration.
- Strong track record of translating research into production while maintaining an iterative and fast-paced workflow.
- Proactive self-starter with the ability to independently identify problems and drive solutions.
- Instacart is a Flex First team
- 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.
- For US based candidates, the base pay ranges for a successful candidate are listed below.
- CA, NY, CT, NJ$203,000—$226,000 USD
- WA$195,000—$217,000 USD
- OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$187,000—$208,000 USD
- All other states$169,000—$188,000 USD
