# Tech Lead Applied Scientist

**Company**: Samsara
**Location**: Remote - US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $200,200 - $357,500 USD per year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/samsara/jobs/7266629?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e0b9b791-e5c

## Description

Samsara is looking for a Tech Lead Applied Scientist to join their Safety AI team. The role involves taking models from research to production in safety-critical systems, focusing on real-time perception systems that run across millions of edge devices in the physical world and the cloud.

Responsibilities:

- Architect end-to-end computer vision pipelines for real-world safety detection

- Drive the technical roadmap for edge and cloud perception

- Partner with hardware and firmware teams to co-design the full stack

- Work with petabyte-scale multimodal data 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

Requirements:

- 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 for real-world environments

- Experience with multimodal perception and sensor fusion

- Experience with transformer-based architectures and vision-language models

- Experience building and deploying real-time or edge ML systems optimized for low-latency inference

Benefits:

- Flexible working model

- Professional development stipend

- Comprehensive health and parental leave plans

- Equity (for eligible roles)

Salary: $200,200 - $357,500 USD per year

## Skills

### Required
- Computer Science
- Electrical Engineering
- Robotics
- Computer Vision
- Machine Learning
- Multimodal Perception
- Sensor Fusion
- Transformer-based Architectures
- Vision-Language Models
- Edge ML Systems

### Nice to have
- Experience applying perception to real-world systems
- Publications or patents at top-tier venues

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/samsara/jobs/7266629?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)