Senior Machine Learning Engineer - ML Application Systems

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Join Our Innovative Team as a Senior Machine Learning Engineer at Samsara!

Who We Are

Samsara (NYSE: IOT), a trailblazer in Connected Operations™ Cloud, leverages the power of the Internet of Things (IoT) to enable corporations reliant on physical operations to derive actionable insights from IoT data, enhancing safety, efficiency, and sustainability. Operating across essential sectors like agriculture, construction, transportation, and manufacturing that constitute over 40% of the global GDP, Samsara is spearheading the digital transformation of our world's fundamental infrastructures.

Working with us means being at the forefront of shaping the future of physical operations through our array of innovative product solutions like Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of Samsara, you'll have both autonomy and support to make significant contributions in a company focused on long-term success.

About the Role

The Samsara Machine Learning (ML) infrastructure team is tasked with developing end-to-end ML applications that enhance our technology offerings. As a Senior Machine Learning Engineer, your role involves advancing ML solutions to elevate the safety, efficiency, and sustainability of physical operations. This position promotes extensive collaboration with cross-functional teams to deliver robust ML infrastructures and optimize services.

This fully remote position is open to candidates based in the US and Canada.

Who Should Apply?

Our ideal candidate is driven to impact critical industries globally, is eager to tackle challenges at scale with over 2.3 million IoT devices in deployment, and enjoys continuous learning and customer engagement. A team-oriented mindset is crucial due to the collaborative nature of our projects.

In this role, you will:

  • Design and implement ML APIs for seamless integration into cloud-based applications.
  • Build and maintain data pipelines, supporting frequent updates and enhancements to ML models.
  • Implement tools for A/B testing and online model evaluation for efficient rollouts and iterations.
  • Conduct research on emerging ML technologies and methodologies to spur continuous innovation.
  • Collaborate closely with Product Management to convert customer requirements into effective ML solutions.

Minimum Requirements:

  • BS or MS in Computer Science or a related field.
  • At least 4 years of experience in a Machine Learning engineering role, or similar.
  • Proficiency in common programming languages such as Python, Java, or Scala, and ML frameworks like TensorFlow or PyTorch.
  • Demonstrated experience with full-stack or backend development to understand data structures and dependencies.

Preferred Qualifications:

  • Ph.D. in Computer Science or a quantitative discipline such as Statistics or Applied Math.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and IaC frameworks.
  • Proven track record of deploying and managing ML applications in cloud environments.
  • Capability to build from scratch and scale end-to-end ML applications.

Compensation and Benefits

Samsara offers competitive compensation, including base salary (CAD $132,600—$171,600), potential bonuses, and stock options. Benefits include flexible working conditions, comprehensive health benefits, a charity fund, and more. All qualified candidates will receive consideration without regard to any non-merit factor.

Commitment to Inclusion

At Samsara, we are dedicated to ensuring equal opportunities in employment for all. We aim to foster a diverse and inclusive workspace where every team member can thrive.

Interested in shaping the future of operations with Samsara? Apply today to the Senior Machine Learning Engineer - ML Application Systems position!

Note on Employment Integrity

Samsara is committed to genuine and direct recruitment processes and does not charge any fees at any stage of recruitment. Official communications will always come from authorized Samsara email addresses. Be cautious of fraudulent job offers.