BS or MS in Computer Science or other technical degree with 5+ 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 3+ 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 with managing data processing and machine learning code via GitHub
Excellent problem-solving skills and the ability to work alone and collaboratively
Experience implementing ML models on large datasets 100K to 1M and more on the edge
Experience building, deploying, and optimizing ML models on the edge
Experience in state-of-the-art models for road segmentation, road object detection and tracking
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
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. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions
Annual Base Salary
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more
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
Belonging at Samsara
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