Machine Learning Engineering Manager, Edge AI

About SimpliSafe

We’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. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. 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 for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. 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.

About the Role

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 solve real-world problems in the home security domain
• Work with key stakeholders to identify key research initiatives that can have impact to 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

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 as it relates to 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

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 instructions)
• Experience with time series data
• Familiarity with cloud computing platforms (e.g., AWS, GCP)

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

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 your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• 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.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. 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. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.