应用科学家技术负责人
Tech Lead Applied Scientist
我们是谁
Samsara(NYSE: IOT)是Connected Operations™ Cloud的先驱,这是一个平台,使依赖物理运营的组织能够利用物联网(IoT)数据来生成可操作的见解并改进其运营。在Samsara,我们正在帮助提升支撑全球经济的物理运营的安全性、效率和可持续性。这些行业占全球GDP的40%以上,是地球的基础设施,包括农业、建筑、现场服务、运输和制造——我们很兴奋能帮助它们实现大规模的数字化转型。
在Samsara工作意味着你将参与定义物理运营的未来,并加入一个正在打造一系列激动人心的产品解决方案的团队,包括基于视频的安全性、车辆远程信息处理、应用程序和驾驶员工作流程,以及设备监控。作为一家最近上市的公司,你将拥有自主权和支持,以长期的眼光进行建设。
职位简介:
Samsara的AI已经帮助防止了每年可能伤害38万人的事故。我们发布的每一个模型都在现实世界中运行,在真实的道路上保护真实的司机。
这是Safety AI团队中最高级别的个人贡献者角色。该职位专注于将研究中的模型转化为安全关键系统中的生产系统。
你将处于最前沿的计算机视觉研究与在全球数百万个IoT设备上运行的生产系统的交汇点。你构建的模型在边缘实时运行,用于卡车、面包车和重型设备,这些设备让世界持续运转。
- 规模:数百万台AI行车记录仪,每年1000亿英里(约99%的美国道路),25万亿数据点
- 问题:理解驾驶员行为、三维场景推理,以及在真实环境中的长尾事件检测
- 技术栈:现代视觉模型(如Transformer)、大规模训练流水线,以及针对受限设备的边缘推理优化
这是一个面向美国境内候选人的远程职位。
你应该申请,如果你:
- 想影响支撑世界的行业:你的努力将产生实际影响——帮助保持电力供应、将食品送入杂货店、减少排放,最重要的是,确保员工安全回家。
- 你是自己职业的架构师:如果你付出努力,这个职位不会是你在Samsara的最后一个职位。我们为员工建立了良好的发展路径。
查看英文原文
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:
Samsara's AI has helped prevent accidents that would have harmed an estimated 380,000 people per year. Every model we ship runs in the real world, on real roads, protecting real drivers.
This is the most senior individual contributor role on our Safety AI team. The role is focused on taking models from research to production in safety-critical systems.
You'll sit at the intersection of cutting-edge computer vision research and production systems that run across millions of IoT devices globally. The models you build run on the edge, in real time, on the trucks and vans and heavy equipment that keep the world moving.
- Scale: Millions of AI dash cams, 100B+ miles/year (~99% of U.S. roads), 25T+ data points
- Problems: Driver behavior understanding, 3D scene reasoning, and long-tail event detection in real-world environments
- Stack: Modern vision models (e.g. transformers), large-scale training pipelines, and optimization for edge inference on constrained devices
This is a remote position open to candidates residing in the US.
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-calibre team that will encourage you to do your best.
In this role, you will:
- You will be the technical thought leader and you will lead the design and implementation of our most critical Safety AI initiatives including real-time perception systems that run across millions of edge devices in the physical world and the cloud. The scale and constraints make this an extremely unique applied ML problem. You will:
- Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond
- Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy
- Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack
- Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models
- Stay at the frontier of CV and perception research and translate what matters into shipped product
- Mentor and technically guide senior scientists and engineers across the team
- Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges.
- 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:
- Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field.
- 10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production.
- Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments.
- Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU).
- Experience with transformer-based architectures and vision-language models (VLMs/VLAs).
- Experience building and deploying real-time or edge ML systems optimized for low-latency inference.
- Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale.
An ideal candidate also has:
- Experience applying perception to real-world systems such as driver assistance, fleet safety, or operations automation.
- Publications or patents at top-tier venues (CVPR, ICCV, ICRA, NeurIPS).
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
$200,200—$357,500 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 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 or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, 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 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.