Job Description
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.
About the role:
The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As Manager II of Machine Learning Engineering, you will build and manage teams that apply computer vision, sensor fusion, and machine learning to recognize and surface relevant events to our customers. You will also be responsible for developing, deploying, maintaining, and improving AI solutions on devices and in the cloud - working closely with full-stack, firmware, and platform teams.
This role is fully remote in the US and Canada.
You should apply if:
- You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
- You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
- You are a life-long learner: We have bold goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, problems, and customers that push us to learn on the go.
- You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
- You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win—together.
In this role, you will:
- Manage teams of engineers building ML infrastructure to scale our hybrid cloud-edge AI products
- Help drive long-term planning and establish scalable processes for execution
- Actively contribute to building the roadmap for AI at Samsara
- Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs.
- Champion, role model, and embed Samsara's Values (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
- Hire, develop, and manage an inclusive, engaged, and high-performing team
Minimum requirements for the role:
- BS, MS, or PhD in Computer Science or other technical degree
- 5+ years of relevant technical experience with ML infrastructure4+ years of relevant software engineering work experience2+ years of experience managing software and science teams including senior ICs
- Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement
- Comfortable managing infrastructure development in collaboration with scientists and researchers
An ideal candidate also has:
- MS or PhD in Computer Science or other technical degree
- Experience with state-of-art training frameworks, inference frameworks, and build tooling
- Experience building, deploying, and optimizing ML infrastructure that spans edge devices and the cloud
- Proven track record for innovation and delivering value to customers
- Demonstrated ability to build cross-functional consensus and drive cross-team collaboration
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.
Benefits
Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click hereif you require any reasonable accommodations throughout the recruiting process.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in '@samsara.com' or '@us-greenhouse-mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here.
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