Staff Cv Applied Research Engineer, Edge Ai

SimpliSafe

Boston, MA, United States
Base: $183,300 to $268,800; bonus/equity: pyrticip...
On-site
Edge ml model development
Transformer-based vision models
Resource-aware model optimization
Lead development of on-device machine learning for outdoor monitoring in the home security space, building and optimizing computer vision models that run in real time on resource-constrained embedded devices

Job Summary

  • Lead development of on-device machine learning for outdoor monitoring in the home security space, building and optimizing computer vision models that run in real time on resource-constrained embedded devices.
  • Drive model efficiency through resource-aware design and training, including architecture, training, and compression techniques like quantization, pruning, and mixed precision.
  • Partner with embedded/firmware and platform teams to integrate models into production pipelines, profile bottlenecks, and improve end-to-end runtime performance.

Matching Summary

Lead development of on-device machine learning for outdoor monitoring in the home security space, building and optimizing computer vision models that run in real time on resource-constrained embedded devices.

Salary

Base: $183,300 to $268,800; Bonus/Equity: Participation in annual bonus program, equity; Benefits: Full range of medical, retirement, and lifestyle benefits

Skills & Requirements

Must-have

  • Edge ML model development
  • Transformer-based vision models
  • Resource-aware model optimization
  • Real-time embedded inference
  • Computer vision model deployment

Nice-to-have

  • Hybrid CNN-transformer backbones
  • Model distillation
  • Long-tail robustness strategies
  • Embedded inference tooling
  • Embedded accelerators and profiling

Key Requirements

  • 8+ years in applied ML/ML engineering
  • Production CV models shipping experience
  • Vision transformers/DETR architectures
  • Resource-constrained real-time deployment
  • Python and PyTorch/TensorFlow proficiency
  • Staff-level leadership experience

Work Rights

Not specified

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