Principal Software Engineer, MLOps
Boston, MA
Applications have closed
SimpliSafe
Shop award-winning home security systems from SimpliSafe. Professional monitoring, protection from break-ins and hazards, and no contracts.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 Principal Software Engineer in the MLOps space to join our AI team driving our current and next generation ML solutions for our camera platforms. In this role, you will:
- Lead the architectural design and development for the infrastructure that supports ML and CV solution development.
- 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.
- Affect organization-wide initiatives involving software architecture, data processing, and best practices.
What You’ll Bring
- Experience leading and building (architecture and implementation) software systems and infrastructure that support the ML lifecycle.
- 10+ years in a software development role with a track-record as a technical lead.
- 5+ years supporting development of production-grade machine learning solutions.
- 5+ years architecting systems on a cloud platform (AWS, GCP, Azure) for large scale data processing.
- Enjoy providing technical guidance and mentorship to engineers.
- Values testing (unit, mock, integration) and test-based/driven software development.
- Expertise in cloud infrastructure automation, CI/CD tooling, and containers
Desired, but not required:
- 4+ years AWS experience supporting production solutions.
- 2+ years experience utilizing computer vision annotation platforms.
- Experience working with sensitive data following relevant privacy regulations.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD Computer Vision Engineering GCP Machine Learning MLOps Privacy Security Testing
Perks/benefits: Career development
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