simplisafe

Staff Computer Vision Scientist, Edge AI

Boston, MA · Staff+

Sponsorship not specified$183k-$269kDetected 5 days ago

PythonC++Machine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionA/B TestingSignal ProcessingLeadership

About the role

We are seeking a highly motivated and experienced Staff Computer Vision Scientist, Edge AI to join our growing Edge AI team.

Lead end-to-end development of edge ML models for outdoor monitoring (e.g., person/vehicle/package detection, classification, tracking, segmentation, event understanding).
Partner with embedded/firmware and platform teams to integrate models into production pipelines
perform failure analysis and improve long-tail robustness (nighttime, rain/snow, backlight, fast motion).
Partner with embedded/firmware and platform teams to integrate models into production pipelines; profile bottlenecks and improve end-to-end runtime performance.
Define evaluation strategies tailored to outdoor edge deployments; perform failure analysis and improve long-tail robustness (nighttime, rain/snow, backlight, fast motion).
With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.
A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

8+ years in applied ML/ML engineering, including shipping production CV models.
Deep experience in model optimization: QAT/PTQ, distillation, pruning, compression, mixed precision, and hardware/runtime-aware training.
Strong computer vision background with deep learning expertise across detection/classification/segmentation/tracking.
Hands-on experience with vision transformers and/or DETR-style architectures, including practical knowledge of efficiency trade-offs for edge deployment.
Demonstrated success deploying models in resource-constrained, real-time environments (embedded/mobile/IoT/edge).
ability to productionize models and collaborate with systems engineers (C++ experience strongly preferred).
Staff-level leadership: ability to drive ambiguous initiatives, align stakeholders, and mentor engineers.
Bonus Points:
Experience building model "ladders" across multiple chipsets/device tiers with consistent KPIs and automated regression testing.
Experience with long-tail data strategies (active learning, hard-negative mining) and edge reliability/telemetry feedback loops.

Expertise in efficient transformer techniques (e.g., attention approximations, windowed/local attention, KV caching where applicable, token merging, sparsity) and their deployment implications.
Experience with embedded inference tooling and runtimes (e.g., TFLite, ONNX Runtime, TensorRT) and model export/compatibility constraints.
Familiarity with embedded accelerators and profiling (ARM NEON, DSP/NPU toolchains), kernel/operator tuning, and real-time video pipelines.
Customer Obsessed
Always challenging ourselves and others to raise the bar.
Maintaining a "no job too small" attitude, and an open, inclusive and humble style.
Taking a highly collaborative approach to achieving success.
Lift As We Climb

The target annual base pay range for this role is $183,300 to $268,800.
This target annual base pay range represents our good-faith estimate of what we expect to pay for this role.
We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually.

A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here )
We believe in a collaborative and agile environment where learning and growth are continuous.
We all benefit from flexibility and get to use the best of both worlds to get our work done.
Architect, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer backbones optimized for embedded inference.

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home.
So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.
We regularly review our programs to ensure they remain competitive and aligned with our values.
We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences.
We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others.

This listing is sourced directly from simplisafe's careers page and normalized into a canonical job model.