Senior Machine Learning Engineer - Edge AI - Samsara

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:

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 worlds 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. 

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field

• 5+ 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

An ideal candidate also has:

• 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

Samsara’s Compensation Philosophy: Samsara’s compensation program is designed to deliver Total Direct Compensation (based on role, level, and geography) that is at or above market. We do this through our base salary + bonus/variable + restricted stock unit awards (RSUs) for eligible roles.  For eligible roles, a new hire RSU award may be awarded at the time of hire, and additional RSU refresh grants may be awarded annually. 

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. 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.