Instacart
Engineering Manager, Machine Learning (Caper)
Rol remoto de Leadership (Engineering) con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Engineering Manager, Machine Learning (Caper)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
About the Job
- Lead and grow a team of ~10 ML, CV and AI infrastructure engineers building the perception and reasoning systems that power Caper Carts in live retail environments.
- Define the technical vision, roadmap, and success metrics for cart perception and multimodal understanding; prioritize work that drives measurable gains in item recognition accuracy, checkout speed, and system reliability.
- Architect scalable training, data, and inference platforms on GCP using Ray, Kubernetes, and modern MLOps practices to enable rapid experimentation and safe, repeatable deployments.
- Deliver production-grade CV/VLM models for multi-camera item detection, weighing, and basket reasoning; optimize on-device inference for low-latency, high-availability operation at the edge.
- Build the data flywheel end-to-end—instrumentation, labeling, evaluation, offline/online testing, and monitoring—to continuously improve performance across diverse store conditions.
- Collaborate cross-functionally with Android, hardware, product, design, operations, and retailer partners; communicate risks, tradeoffs, and timelines clearly in a fast-paced, ever-evolving environment.
Minimum Qualifications
- 8+ years of experience building and deploying machine learning systems, with a strong focus on computer vision in production environments.
- 2+ years of experience managing teams of 6+ ML/CV/AI engineers, including hiring, performance management, and career development.
- Hands-on expertise with computer vision, deep learning (e.g., PyTorch), model training/evaluation, and MLOps practices for reliable CI/CD of ML services.
- Proven experience architecting and operating ML infrastructure on GCP (e.g., GKE, Vertex AI, BigQuery) and distributed training/inference with Ray; containerization with Docker and orchestration with Kubernetes.
- Experience delivering real-time edge inference, including model optimization (e.g., TensorRT, ONNX, quantization) and monitoring for latency, throughput, and accuracy.
- Proficiency in Python and SQL, with a track record of shipping end-to-end CV systems including data pipelines, experimentation, deployment, and post-launch iteration.
- Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or a related technical field, or equivalent practical experience.
Preferred Qualifications
- Experience integrating on-device ML with Android applications and collaborating closely with Android teams on SDKs and APIs.
- Background with multimodal vision-language models (VLMs) and large language models (LLMs) for perception, retrieval, or instruction-based reasoning.
- Experience with sensors and hardware integration (e.g., multi-camera setups, weight sensors), calibration, and dataset generation for robotics or retail environments.
- Demonstrated success leading cross-functional programs across 3+ partner teams and delivering multi-quarter roadmaps.
- Graduate degree (MS/PhD) in a relevant field with research or applied focus in computer vision, machine learning, or robotics.
Roles similares
Mantén una lista de respaldo.
Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.