research
Posted Jun 18Sr Staff / Staff Applied Scientist
at Samsara
United StatesHybrid
Responsibilities
- 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
- Mentor and technically guide senior scientists and engineers across the team
- 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
Requirements
- 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.
- 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.
- 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
- 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 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:
- 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
- Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field.
- experience leading end-to-end AI systems in production.
- 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.
- Experience applying perception to real-world systems such as driver assistance, fleet safety, or operations automation.
- 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.
Experience
- 10+ years as a scientist or ML engineer, with
Benefits
- You'll sit at the intersection of cutting-edge computer vision research and production systems that run across millions of IoT devices globally.
- Stack: Modern vision models (e.g. transformers), large-scale training pipelines, and optimization for edge inference on constrained devices
- 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.
- Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments. •
- 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 $200,200 — $357,500 USD Total Rewards
- 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.
Contact
- Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
- Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co.
Additional details
- 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 models you build run on the edge, in real time, on the trucks and vans and heavy equipment that keep the world moving.
- This is a remote position open to candidates residing in the US.
- 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.
- 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: