SimpliSafe-posted 4 months ago
Full-time • Senior
Boston, MA
1,001-5,000 employees

SimpliSafe 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 is responsible for designing, developing, and deploying ML models to edge devices to solve real-world problems in the home security domain. Work with key stakeholders to identify key research initiatives that can have an impact on 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) tradeoff for battery powered devices. Stay up-to-date on the latest advancements in emerging techniques for 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.

  • Manage the edge AI team responsible for designing, developing, and deploying ML models to edge devices.
  • Work with key stakeholders to identify key 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 tradeoff for battery powered devices.
  • Stay up-to-date on the latest advancements in model optimization techniques.
  • Contribute to the development of machine learning infrastructure and tools.
  • Influence team culture and exemplify best practices in applied research.
  • 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 in computer vision and natural language processing.
  • Skilled in Python and relevant machine learning libraries (e.g., PyTorch, TensorFlow, Keras).
  • Skilled in C/C+.
  • 3+ years of experience developing and deploying models on edge devices leveraging techniques for quantization 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.
  • Experience with deep learning model architectures such as YOLO.
  • 3+ years of experience developing vectorized code on ARM using SIMD (Neon, Helium instructions).
  • Experience with time series data.
  • Familiarity with cloud computing platforms (e.g., AWS, GCP).
  • A mission- and values-driven culture and a safe, inclusive environment.
  • A comprehensive total rewards package that supports wellness and provides security for SimpliSafers and their families.
  • Free SimpliSafe system and professional monitoring for your home.
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.
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