About the role:
The Samsara AI team builds endtoend AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer you will be working with petabytescale sensor diagnostic video and text data to solve critical problems for Physical Operations customers globally. You will work closely with ML Engineers and Scientists as well as fullstack and firmware engineers to deliver core product features services and optimizations.
This is a remote position open to candidates residing in Canada. This position requires travel up to 5 of the time. Relocation assistance will not be provided for this role.
You should apply if:
- You want to impact the industries that run our world: The software firmware and hardware you build will result in realworld impacthelping to keep the lights on get food into grocery stores and most importantly ensure workers return home safely.
- You want to build for scale: With over 2.3 million IoT devices deployed to our global customers you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the worlds physical operations.
- You are a lifelong learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies challenges and customers that push us to learn on the go.
- You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews collaborate with customer success and product managers and use metrics to ensure our work is translating into better customer outcomes.
- You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission were all racing toward our connected operations vision and we intend to wintogether.
In this role you will:
- Lead design and implementation of critical AI product initiatives on Edge devices.
- Develop both tactical AI solutions as well as more strategic and longer term research.
- Work with petabytescale data from customer operations including text transactions diagnostics sensor camera and location data.
- Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.
- Stay connected to industry and academic research and adopt novel technology that suits Samsaras needs.
- Champion role model and embed Samsaras 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:
- 8 years experience as a Machine Learning Engineer.
- Profound experience in optimizing ML models and systems for Edge compute constraints.
- Proficient with Spark Ray or a similar framework.
- Coding in python or similar.
- Coding in C or Rust.
- Strong functional knowledge of the iterative machine learning product development process.
- Experienced in developing and shipping production code at large scale.
- Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
- Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.
- Experience coaching and mentoring ML Engineers.
An ideal candidate also has:
- Proficiency in selfserving with data for experiments and model training at scale.
- An established record of successful high impact deliveries in AI.
- Deep knowledge in state of the art Computer Vision and multimodel models.
Required Experience:
Staff IC