Senior Machine Learning Engineer - Edge AI

Sorry, this job was removed at 04:10 p.m. (PST) on Tuesday, May 14, 2024
Easy Apply
Hiring Remotely in US
Remote
135K-228K Annually
Internship
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Empowering the People Who Power Our World.
The Role

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. 

Click here to learn more about Samsara's cultural philosophy.

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.

Click here to learn about what we value at Samsara.

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.

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 [email protected] or click here if 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.

What the Team is Saying

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The Company
San Francisco, CA
3,800 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

Samsara 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. With tens of thousands of customers across North America and Europe, Samsara is a proud technology partner to the people who keep our global economy running, including the world’s leading organizations across construction, transportation and warehousing, field services, manufacturing, retail, logistics, and public sector. The company’s mission is to increase the safety, efficiency, and sustainability of the operations that power the global economy.

Why Work With Us

We empower companies to operate more efficiently in a dynamic world, keep their employees and customers safe 24/7, and meet the growing urgency for sustainability. We get to create and support leading-edge technologies like computer vision, edge computing, and data analytics to address vexing challenges often ignored by the tech industry.

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Samsara Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
San Francisco, CA

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