Staff Applied Scientist

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.

About the role:

The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Applied Scientist, you will work with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers. You will collaborate with other scientists and engineers to deliver core product features and optimizations.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will create real-world impact, helping to keep operations functional and safe.
• You want to build for scale: With over 2.3 million IoT devices deployed, you will drive scalable innovation across industries.
• You are a life-long learner: We have ambitious goals and a growth mindset, adapting to new technologies and challenges.
• You believe customers are more than a number: You will work closely with end users to ensure our work translates into better outcomes.
• You are a team player: Collaboration is key in our mission to advance connected operations.

In this role, you will:

• Lead design and implementation of AI product initiatives.
• Develop tactical solutions and long-term research.
• Work with petabyte-scale data from customer operations.
• Partner across business units to prototype new AI experiences.
• Stay connected to industry and academic research.
• Champion Samsara's cultural principles as we scale globally.

Minimum requirements for the role:

• Masters or PhD in Computer Science or a quantitative field.
• 8+ years experience in a related role.
• Proficiency in data experiments and model training.
• Experience with Spark, Ray, or similar frameworks.
• Strong coding and machine learning development skills.
• Ability to define problems from ambiguous requirements.
• Experience in coaching and mentoring scientists.

An ideal candidate also has:

• PhD in a quantitative field.
• Record of high-impact deliveries in AI.
• Experience with ML tools and techniques.

Benefits

Full time employees receive a competitive compensation package, remote and flexible working options, health benefits, and more.

Accommodations

We are committed to equal opportunity in employment for qualified persons with disabilities. Please contact us for reasonable accommodations throughout the recruiting process.

Flexible Working

We embrace a flexible working model that integrates on-site, hybrid, and remote work to meet diverse team needs.

Fraudulent Employment Offers

Please be aware of scams involving fake job offers. We do not charge fees to applicants. Official communications will only come from our designated email domains.