Staff Embedded ML Engineer, Edge AI

SimpliSafe•Boston, MA

4h•Hybrid

About The Position

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most. We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences. 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, Wednesday, or Thursday – working together in person and choosing 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. We are seeking a Senior Software Engineer to design and build the infrastructure that powers machine learning (ML) and computer vision (CV) development and deployment at scale. In this role, you’ll collaborate closely with ML scientists, ML engineers, and adjacent product and platform teams to deliver robust, production-ready software solutions that support the full ML lifecycle. You will contribute to team-wide initiatives spanning software architecture, data processing, and engineering best practices, and you will create and maintain documentation covering software design, implementation, and testing methodologies across the ML data lifecycle.

Requirements

5+ years of experience building software systems and infrastructure.
3+ years of experience deploying and supporting production solutions on AWS.
Experience building and operating production applications on Kubernetes.
Experience with AWS data services such as Athena, Glue and Kinesis.
Familiarity with AWS services such as Lambda, Dynamodb and IAM
Expertise in containers, infrastructure automation, and CI/CD tooling.

Nice To Haves

Experience supporting or building platforms for ML or data-intensive systems.
Exposure to LLM-powered applications, including evaluation, inference, or integration into production systems.
Experience with distributed compute frameworks (e.g., Ray, Spark).
Background in building secure, compliant systems in cloud environments.

Responsibilities

Design, build, and maintain software systems and infrastructure that support the end-to-end ML lifecycle.
Support the development and operation of production-grade machine learning solutions.
Develop and operate microservices in a public cloud environment (AWS, Azure, or GCP).
Collaborate cross-functionally with ML and platform teams to deliver scalable solutions.
Provide technical guidance and mentorship to engineers.
Promote and practice high engineering standards, including unit, integration, and mock testing.
Contribute to cloud infrastructure automation, CI/CD pipelines, and containerized deployments.
Take ownership of projects with a proactive, “can-do” mindset.

Benefits

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.
The target annual base pay range for this role is $183,300 to $268,800.
This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors.
Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.
We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.
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 [email protected].