Machine Learning Engineering Manager, Embedded AI

Machine Learning Engineering Manager, Edge AI

Join to apply for the Machine Learning Engineering Manager, Edge AI role at SimpliSafe.

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. We foster 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 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.

Responsibilities

• 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 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 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

Nice to Have

What Values You'll Share

What We Offer

We wholeheartedly embrace and actively seek applications from all individuals. 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.

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Engineering and Information Technology

Industries : Computers and Electronics Manufacturing

Referral information and related links have been omitted for clarity.

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