Senior Applied Scientist

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which helps to digitize the world of physical operations, providing visibility and empowering entire sectors of our economy to become more safe, efficient, and sustainable. Founded in San Francisco in 2015, we now employ more than 2,000 people globally, have 2.3 million IoT devices deployed globally, and collect more than 85 billion minutes of video footage and 4.6 trillion data points annually.

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, equipment monitoring, and site visibility. As part of a newly public company, you’ll have the autonomy and support to make an impact as we build for the long term. 

Recent awards we’ve won include: 

Best Place to Work by Built In 2022

Deloitte Fast 500 Companies

IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners

Every year, we partner with our customers to deliver outcomes like conserving millions of gallons of fuel, saving millions of dollars, and creating positive environmental change. As more customers connect to our platform, our data grows, our AI models get smarter, and our opportunities expand.

About the role:

The Samsara ML/CV team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Applied Scientist, you will be a tech leader and key contributor in building scalable ML infrastructure and tools. You will work closely with scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.

This role can be office-based or fully remote in the US and Canada.

In this role, you will: 

• Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems 
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Research, adapt, and apply cutting edge techniques in CV and deep learning
• Optimize models for inference on the backend and/or on edge devices
• Partner with our hardware teams to design devices for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• 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
• 4+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience deploying and iteratively refining models using customer feedback loops
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building computer vision features
• Expertise optimizing distributed model training with GPUs

At Samsara, we welcome everyone regardless of their background, race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, etc. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring 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.

US Only: Please note that Samsara’s COVID-19 vaccination policy requires all team members who will be meeting in person for business or working from one of our offices to be fully vaccinated against COVID-19 or submit reg