Who we are
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. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy.
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. 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 Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners.
This role can be office-based or fully remote in the US and Canada.
You should apply if:
- You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact.
- You want to build for scale: With over 2.3 million IoT devices deployed, you will work on technologies driving scalable innovation.
- You are a life-long learner: We have ambitious goals and encourage continuous learning.
- You believe customers are more than a number: You will have the opportunity to participate in customer interviews and collaborate with product managers.
- You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration.
In this role, you will:
- Build and improve the accuracy of ML models.
- Work with petabyte-scale data to develop new models.
- Optimize models for inference on the backend and/or on edge devices.
- Partner with hardware and full-stack teams.
- Stay connected to industry and academic research.
- Collaborate with PM to translate customer needs to ML solutions.
- Champion and embed Samsara's cultural principles.
Minimum requirements for the role:
- BS or MS in Computer Science or relevant field.
- 4+ years experience as a Machine Learning Engineer or similar role.
- Strong proficiency in one or more common languages (e.g., C++, Java, Python).
- Proficiency with common ML tools (e.g., Spark, TensorFlow).
- Experience deploying and refining models using customer feedback.
- Comfortable with full-stack/backend development.
An ideal candidate also has:
- Ph.D. in Computer Science or quantitative discipline.
- Experience building, deploying, and optimizing ML models on the edge.
- Experience building end-to-end ML applications from scratch.
- Expertise optimizing distributed model training with GPUs.
Samsara’s Compensation Philosophy: Samsara’s compensation program is designed to deliver total compensation that is above market.
At Samsara, we welcome everyone regardless of their background. We depend on the unique approaches of our team members to help us solve complex problems.
Accommodations: Samsara is an inclusive work environment and is committed to ensuring equal opportunity for qualified persons with disabilities.
Benefits: Full-time employees receive an above market total compensation package along with health benefits and much more.
Flexible Working: At Samsara, we have adopted a flexible way of working, enabling teams and individuals to do their best work.
Please note: Samsara does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.
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