Machine Learning Engineering Manager, Edge AI

About SimpliSafeWe’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. We’ve created a culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact. We want you to grow and thrive here.We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid means teams come together in our state-of-the-art office on two core days (typically Tuesday and Wednesday) to work in person, and teams may choose where they work for the remainder of the week. Why are we hiring?We’re growing and thriving. We’re looking for smart, talented, and humble people who share our values to disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. About the RoleSimpliSafe is seeking a seasoned engineering manager with experience in the embedded machine learning space to join the Machine Learning team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models for a range of edge devices. Manage the edge AI team which designs, develops, and deploys ML models to edge devices to solve real-world problems in the home security domain Work with key stakeholders to identify research initiatives that can impact business outcomes Set the research direction/roadmap for model optimization techniques Take research initiatives from idea generation to production Plan, adapt and execute multiple initiatives independently and through others Collaborate with engineers and product managers to achieve optimal performance (accuracy vs. power consumption) tradeoffs for battery-powered devices Stay up-to-date on latest advancements in model optimization techniques such as compression and quantization Contribute to the development of our machine learning infrastructure and tools Influence team culture and exemplify best practices in applied research Requirements MS or PhD in Computer Science, Artificial Intelligence, or a related field 8+ years of experience in developing production-grade machine learning solutions Experience managing an engineering team Strong understanding of deep learning architectures and statistical modeling techniques, especially related to computer vision and natural language processing Skilled in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Keras) Skilled in C/C++ 3+ years of experience developing and deploying models on edge devices leveraging quantization techniques such as QAT, PTQ Experience with data preprocessing, feature engineering, and model evaluation Excellent communication and collaboration skills Ability to work in a fast-paced environment Nice to Have Experience with deep learning model architectures such as YOLO 3+ years of experience developing vectorized code on ARM using SIMD (Neon, Helium) Experience with time series data Familiarity with cloud computing platforms (e.g., AWS, GCP) What Values You’ll Share Customer Obsessed Aim High No Ego One Team Lift As We Climb Lean & Nimble What We Offer A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive A comprehensive total rewards package that supports wellbeing and provides security for SimpliSafers and their families Free SimpliSafe system and professional monitoring for your home Employee Resource Groups that foster networking, mentoring and development Equal Employment Opportunity SimpliSafe is an equal opportunity employer. We encourage diverse applicants and use inclusive practices in our hiring process. If a reasonable accommodation is needed to participate in the interview process or perform essential job functions, please contact . #J-18808-Ljbffr

Created: 2025-09-17