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.
Recent awards we’ve won include:
Glassdoor's Best Places to Work 2024
Best Places to Work by Built In 2024
Great Place To Work Certified 2023
Fast Company's Best Workplaces for Innovators 2023
Financial Times The Americas’ Fastest Growing Companies 2023
We see a profound opportunity for data to improve the safety, efficiency, and sustainability of operations, and hope you consider joining us on this exciting journey.
About the role:
Samsara is looking for an experienced Machine Learning Engineer for our Machine Learning Engineering team. Our Machine Learning team is responsible for leading the teams that build and ship Samsara’s AI features, and the infrastructure that supports them. This includes computer vision, large language models, and multimodal machine learning on edge devices and in the cloud to support our rapidly growing footprint of customers. This organization is building the ML foundation to stay ahead of the needs of our expanding customer base and platform.
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 ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, 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:
- Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
- Partner with firmware teams to deploy AI models on edge devices
- Optimize models for inference on edge devices
- Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
- Collaborate with PM to translate customer needs to ML solutions
- Champion, role model, and embed Samsara’s cultural principles (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 office.
- BS or MS in Computer Science or other relevant field
- 2+ years experience as an Embedded Machine Learning Engineer, or similar role
- Proficiency with programming in embedded systems
- Strong proficiency in one or more common languages (e.g., C++, Golang, Python)
- Experienced working with ML framework like PyTorch, ONNX, Tensorflow on edge systems, understand common model optimization techniques like quantization, sparsification.
- Experience working on computer vision and media processing application on edge/mobile device
- Experience troubleshooting and debugging edge AI systems, addressing performance bottlenecks and issues
- Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
- Experience developing and implementing AI solutions for real-time processing on edge devices
- Experience collaborating with cross-functional teams to understand requirements and design efficient edge computing solutions
- Experience in large scale edge ML system rollout
- Experience in continuous improvement of edge AI models to enhance functionality and efficiency
- Experience in computer vision optimization on DSP
- Experience in power and thermal optimization on edge devices for ML applications
We pay for performance, and top performers in eligible roles may receive above-market equity refresh awards which allow employees to achieve higher market positioning.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience.
$135,482—$227,700 USD
At Samsara, we welcome everyone regardless of their background, race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, etc. 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 orclick here if you require any reasonable accommodations throughout the recruiting process.
Flexible Working
At Samsara, we have adopted a flexible way of working, enabling teams and individuals to do their best work, regardless of where they’re based. We value in-person collaboration and know a change of scenery and quiet space to work is welcomed from time to time, but also appreciate that the world of work has changed. Our offices remain open for those who prefer to collaborate or work in-office, but we also encourage fully remote applicants. As most roles are not required to be in the office, we are able to hire remotely where Samsara has an established presence. If a role is required to be in a certain location and candidates do not have work authorization for that location, Samsara will conduct an immigration assessment. If the role is not required to be in a specific location, Samsara will move forward with the remote location that works best for the business. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company.
Please note: Samsara does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Samsara employees. #J-18808-Ljbffr