# Senior Applied Scientist Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 170,170 - 286,000Department [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted22 Jul 2026Apply before22 Aug 2026Experience level Senior Views / Applies 45 / 4 [About company](https://jobicy.com/company/samsara.md) * Share About [Samsara](https://jobicy.com/company/samsara.md) Samsara provides software and insights for physical operations to help businesses operate their physical operations more efficiently. [Computer Software](https://jobicy.com/company-category/software.md) * 2015 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary Samsara is seeking a Senior Applied Scientist to join their Machine Learning/Computer Vision team. The role involves building and improving ML/CV models using petabyte-scale data from IoT sensors and cameras. Key responsibilities include retraining models, optimizing for edge devices, and collaborating with cross-functional teams to translate customer needs into solutions. The ideal candidate has 5+ years of experience and a strong background in ML/CV. This remote position offers a competitive salary and the opportunity to impact the safety and efficiency of physical operations. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires advanced expertise in machine learning and computer vision, handling petabyte-scale data, and optimizing models for edge devices, which demands deep technical skill and experience. ### Salary Analysis Median Highly Competitive USD228,085US Market USD140k – 250k 0 USD275k AI Insight The offered salary range of $170,170 to $286,000 is competitive and above the market median for a Senior Applied Scientist role. The median of $228,085 is attractive and reflects the high demand for ML/CV expertise. ### Core Skills Required [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [Computer Vision](https://jobicy.com/jobs?search_keywords=Computer+Vision.md) [Deep Learning](https://jobicy.com/jobs?search_keywords=Deep+Learning.md) [Edge Computing](https://jobicy.com/jobs?search_keywords=Edge+Computing.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md) [PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md) [IoT](https://jobicy.com/jobs?search_keywords=IoT.md) [Data Analysis](https://jobicy.com/jobs?search_keywords=Data+Analysis.md) [Model Optimization](https://jobicy.com/jobs?search_keywords=Model+Optimization.md) ### Cover Letter Sample Dear Hiring Manager, I am writing to express my interest in the Senior Applied Scientist position at Samsara. With over five years of experience in machine learning and computer vision, I have developed and deployed models that deliver actionable insights from large-scale data. My expertise in optimizing models for edge devices and working with IoT data aligns perfectly with Samsara's mission. I am impressed by Samsara's impact on the safety and efficiency of physical operations. Throughout my career, I have collaborated closely with product teams to translate customer needs into ML solutions, ensuring real-world value. I thrive in fast-paced, collaborative environments and am eager to contribute to your innovative projects. Thank you for considering my application. I look forward to the opportunity to discuss how my skills can benefit Samsara. Sincerely, [Your Name] Copy ### Sample Interview Questions Describe your experience with deploying machine learning models on edge devices.I have extensive experience optimizing models for edge deployment using techniques like quantization, pruning, and knowledge distillation. I have deployed models using TensorFlow Lite and ONNX Runtime on devices with limited compute and memory, achieving real-time inference with minimal accuracy loss.How do you handle imbalanced datasets in computer vision tasks?I address class imbalance by using data augmentation, such as random cropping and flipping, and applying class weighting in the loss function. Additionally, I use oversampling techniques like SMOTE and undersampling for dominant classes. Focal loss is effective for tasks with severe imbalance, such as object detection.Explain a project where you worked with petabyte-scale data.In my previous role, I worked on a video analytics platform that processed over 2 petabytes of surveillance footage annually. I designed a distributed pipeline using Apache Spark and deep learning frameworks to extract features and train models. I optimized data storage and retrieval with columnar formats like Parquet, reducing processing time by 40%.How do you stay updated with the latest research in machine learning?I regularly follow conferences such as NeurIPS, CVPR, and ICML, and read papers on arXiv. I also participate in online communities and run experiments to reproduce interesting results. I believe in applying novel techniques that have practical benefits for the business.Describe a time you collaborated with product teams to define ML requirements.At my last company, I worked with product managers to develop a driver monitoring system. I conducted customer interviews to understand pain points and translated them into technical requirements. The collaboration resulted in a model that detected distracted driving with 95% accuracy, leading to a 30% reduction in incidents for our clients. 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, and Equipment Monitoring. 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 Machine Learning / Computer Vision team builds end-to-end applications to power different product pillars at Samsara. We are looking for a talented applied 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 residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role. 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 the accuracy of ML / CV models, including retraining and optimizing models to solve Samsara-specific problems. * This will contribute to our R&D roadmap across our four product categories including: Video-based safety – Key focus. * Vehicle telematics. * Equipment monitoring. * Workforce apps and Site Visibility. * 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 firmware 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 product team 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 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. An ideal candidate also has: * 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. Learn more about our total rewards and benefits below. Annual Base Salary$170,170—$286,000 USD 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](https://www.samsara.com/company/careers/benefits) 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. If you’re ready to build for the long term and own the outcome, your journey starts here. 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 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. 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](mailto:accessibleinterviewing@samsara.com) or [click here](https://forms.gle/DrM6DFQUiSgfPtCVA) if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use [Tofu](https://hiretofu.com/privacyPolicy), a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s [Candidate Privacy Notice](https://www.samsara.com/legal/candidate-privacy-notice) for more information. 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, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our [blog post here](https://samsara.com/blog/avoiding-fake-job-offers). 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