Senior Computer Vision Engineer

Samsara (View all Jobs)

Remote - US

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Interview Process

1. Phone interview 2. Onsite interview (technical challenges based on real problems we've faced at Samsara)

Programming Languages Mentioned

Java, Golang, Python, C++


Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which allows businesses that depend on physical operations to harness IoT (Internet of Things) data to develop actionable business insights and improve their operations. Founded in San Francisco in 2015, we now employ more than 1,800 people globally and have over 1.5 million active devices. Samsara also went public in December 2021 and we’re just getting started. 

Recent awards we’ve won include: 

  • #2 in the Financial Times’ Fastest Growing Companies in Americas list 2021
  • Named as a Best Place to Work in Built In 2022 
  • #19 in the Forbes Cloud 100 2021  
  • IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners 
  • Forbes Advisor named us the Best Solution for Large Companies - Fleet management software for 2022!

We're driving change in industries that are yet to fully embrace digital transformation. Physical operations make up a massive slice of the global economy but haven’t benefited from innovation and actionable information in the way that other sectors have. The potential for scale and impact is huge.

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 CV Engineer 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: 

  • Architect, build, and improve solutions for hybrid cloud-edge ML
  • Design, develop, and optimize services and system components that train, deploy, serve, and monitor models
  • Build tools to support and accelerate core ML and CV work
  • 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 building and deploying large-scale machine learning systems with feedback loops for continuous improvement
  • Experience building performant, distributed training and inference pipelines on very large datasets
  • Comfortable with full-stack / backend development

An ideal candidate also has:

  • Experience building, deploying, and optimizing ML models on the edge
  • Experience building computer vision features
  • Expertise optimizing distributed model training with GPUs
  • MS / PhD in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)

 

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 regular testing. People who cannot be vaccinated for qualifying medical conditions, sincerely held religious beliefs, and other legally protected categories, may request an accommodation.

Benefits

Our target total compensation market position is in the top 25% of all software and hardware companies. Our full time employees receive an above market-rate salary, an outstanding equity offering, employee-led remote and flexible working, health benefits, personal development, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more.  

Flexible Working 

At Samsara, we have adopted a flexible way of working, enabling teams and individuals to do their best work, regardless of where they’re based. We value in-person collaboration and know a change of scenery and quiet space to work is welcomed from time to time, but also appreciate that the world of work has changed. Our offices remain open for those who prefer to collaborate or work in-office, but we also encourage fully remote applicants. As most roles are not required to be in the office, we are able to hire remotely where Samsara has an established presence. If a role is required to be in a certain location and candidates do not have work authorization for that location, Samsara will conduct an immigration assessment. If the role is not required to be in a specific location, Samsara will move forward with the remote location that works best for the business. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company. 

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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