Senior ML Scientist

Boston, MA

SimpliSafe

Shop award-winning home security systems from SimpliSafe. Professional monitoring, protection from break-ins and hazards, and no contracts.

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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.

What You’ll Do

SimpliSafe is looking for a Senior ML Scientist to join our AI team driving our current and next generation ML solutions for our camera platforms. In this role, you will:

  • Establish the machine learning approaches to support solutions within our connected home security systems.
  • Work with various machine learning tools to develop and deploy CV algorithms.
  • Collaborate with internal (Product, QA, cloud engineering) and third-party engineering teams to develop effective software solutions that aligns with business development and development of a ML platform.
  • Create documentation for software design, implementation, and testing methodologies, that support the data lifecycle for ML development.

What You’ll Bring

  • 3+ years in a machine learning development role.
  • 3+ years supporting development of production-grade machine learning solutions.
  • 3+ years developing computer vision solutions.

Desired, but not required:

  • Experience with embedded ML solutions, such as quantization-aware training processes.
  • Experience using AWS services for large scale data processing.
  • Experience working with consumer IoT products.

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.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Computer Vision Engineering Machine Learning Security Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  2  0  0

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