Invent and build novel CV models and algorithms from scratch
Own end-to-end data infrastructure: design and operate labeling pipelines
Own the model-to-device pipeline: optimize models for Caper’s edge hardware
Partner with AI Infrastructure and Instacart’s ML platform teams
Translate business goals into system requirements
Define technical strategy and roadmap for CV/AI; serve as the primary technical voice
Establish engineering standards for model development and deployment

Requirements

8+ years owning end-to-end computer vision or deep learning systems in production
Bachelor’s in Computer Science, Electrical Engineering, or related field, or equivalent experience
Demonstrated ability to design and ship novel CV architectures using Python and PyTorch (or TensorFlow)
Proven ownership of the model-to-device pipeline: led the deployment of production models on edge hardware
Led the design and operation of large-scale data and labeling pipelines
Track record of framing ambiguous business problems as tractable engineering workstreams
Owned distributed training and inference infrastructure on cloud/GPU platforms
Established engineering standards, grown engineers through mentorship and design leadership

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computer visiondeep learningPythonPyTorchTensorFlowmodel deploymentdata infrastructurelabeling pipelinesdistributed traininginference infrastructure

Soft Skills

technical strategymentorshipdesign leadershipproblem framingcommunication

Certifications

Bachelor’s in Computer ScienceBachelor’s in Electrical Engineering