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 ML Science team applies and develops cutting-edge technologies that increase the safety, efficiency and sustainability of physical operations. We leverage petabyte scale data from our huge variety of sensors, including video, GPS, IMU, audio, CAN, and more. As a Senior Applied Scientist specializing in multimodal modeling, you will train both powerful and cost-efficient models that leverage these diverse modalities. You will work closely with various engineering teams across ML and firmware, as well as cross functional partners.
This is a remote position open to candidates based in the United States.
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:
- Build and improve ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
- Work with petabyte-scale data from Samsara’s cameras and diverse sensors to develop new multimodal models
- Research and apply cutting-edge technologies from the latest industry and academic research
- Collaborate with cross-functional teams to develop innovative AI products from scratch
- 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:
- 5+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
- BS or MS in Computer Science or another quantitative field
- Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang)
- Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark)
- Proficiency in pulling your own data via SQL, Spark, or a similar data-querying language
- Experience iteratively refining models using customer feedback loops
An ideal candidate also has:
- Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
- Experience working with large datasets using distributed computing (e.g., Spark)
- Expertise with distributed model training of LLMs / MLLMs
- Experience modeling with a variety of data types including sensor data
- Experience leading a small cross-functional team to deliver new ML experiences
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
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.
$135,481.50—$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 and want to ensure 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.
