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.
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About the role:
The Samsara Machine Learning / Computer Vision team builds end-to-end applications to power different product pillars at Samsara. We are looking for a talented scientist to generate insights and draw value from rich customer interactions, as well as from the 2T+ data points our sensors and cameras collect on an annual basis.
This is a remote position open to candidates based in the US and Canada except the San Francisco Bay Area and NYC Metro Area.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
Click here to learn more about Samsara's cultural philosophy.
In this role, you will:
- Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
- Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
- Optimize models for inference on the backend and/or on edge devices
- Partner with hardware and full-stack teams to deploy model for optimal performance and cost
- 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 / CV 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 offices
Minimum requirements for the role:
- BS or MS in Computer Science or other technical degree with 3+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar role working on Computer Vision; or
- Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) with 1+ years of experience working on Computer Vision.
- Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python)
- Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
- Familiarity managing data processing and machine learning code via GitHub
- Excellent problem-solving skills and the ability to work alone and collaboratively
An ideal candidate also has:
- Experience implementing ML models on large datasets
- Experience building, deploying, and optimizing ML models on the edge
- Experience working with cross functional teams on a project
- Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies
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.
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 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.