Senior Machine Learning Engineer
Remote - Canada
Full Time
3 hours ago
Senior LevelEngineeringWorldwide
Over $120K

USD per year

Job Description

Senior Machine Learning Engineer

Remote - Canada ID:JR00131 (for internal use only)

Senior Machine Learning Engineer

Samsara's Mission

Improve the safety, efficiency, and sustainability of the operations that power the global economy. Read Samsara's Culture Playbook 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. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. 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, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. 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: We are looking for a Senior Machine Learning Engineer to lead the architectural evolution of our safety systems. You will move our ML stack from siloed, end-to-end models toward a unified Perception Platform Layer. Your mission is to build the robust infrastructure that translates raw sensor data into real-time, high-stakes decisions, ensuring our models perform reliably across both cloud and edge environments. This is a remote position for candidates based in the US. 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—helping 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 world's physical operations.
  • You are a life-long 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, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will work on the following:

1. Platform Architecture & Unification

  • Architect a Unified Perception Layer: Lead the transition from fragmented, task-specific models to a modular perception platform that supports reusable components and downstream safety applications.
  • System Design: Design and implement real-time ML systems—from sensor ingestion and tracking to risk reasoning and actuation—ensuring clear interfaces and predictable system behavior.
  • Hybrid Deployment: Orchestrate model integration across edge and cloud environments, managing versioning, rollouts, and mission-critical fallback mechanisms.

2. Performance & Reliability Engineering

  • Latency Ownership: Own end-to-end latency and reliability for safety-critical pipelines. You will profile, schedule, and optimize messaging and backpressure across the entire stack.
  • Observability & Feedback Loops: Build sophisticated monitoring for deployed models to detect drift, false positives/negatives, and latency regressions. You will "close the loop" to ensure production data informs the next iteration of training.

3. Rigorous Evaluation & Safety

  • Safety Cases: Develop evaluation frameworks specifically for rare "long-tail" safety events. You will define metrics and build targeted test sets that form the basis for principled ship/no-ship decisions.
  • Explainability: Partner with Applied Scientists to ensure research outputs are translated into production code that is not only performant but also debuggable and explainable.

4. Technical Leadership

  • Strategic Influence: Shape the system abstractions early in the platform transition to minimize technical debt and maximize future scalability.
  • Mentorship: Set the engineering standard for correctness and performance. You will mentor junior and mid-level engineers, fostering a culture of rigorous ML engineering.

Minimum requirements for the role:

  • Experience: 6+ years of experience in ML Engineering, with a proven track record of shipping models in production (ideally in safety-critical domains like robotics, automotive or industrial AI).
  • Systems Mastery: Deep understanding of distributed systems performance profiling,and computer vision.
  • Infrastructure Fluency: Experience with Cloud ML workflows (AWS/GCP/Azure)and containerization paired with an understanding of constraints of edge hardware.
  • Architectural Mindset: You don't just write code; you design systems.You understand trade-offs between model complexity operational reliability.

An ideal candidate also has:

  • Ph.D.in Computer Science or quantitative discipline(e.g.,Applied Math Physics Statistics)
  • Experience with containerization technologies(e.g.,Docker Kubernetes)continuous integration/continuous deployment(CI/CD)pipelines,infrastructure-as-code(IaC)frameworks
  • Familiar with deploying managing ML applications cloud environments leveraging cloud-based services data storage processing inference
  • Experience building end-to-end ML applications scratch

Samsara’s Compensation Philosophy: Samsara’s compensation program designed deliver Total Direct Compensation(based role level geography)at or above market.We do this through base salary + bonus/variable + restricted stock unit awards(RSUs)eligible roles.For eligible roles,new hire RSU award may awarded time hire additional RSU refresh grants may awarded annually.We pay performance top performers eligible roles may receive above-market equity refresh awards allow employees achieve higher market.The range annual base salary full-time employees this position below.Please note base pay offered may vary depending factors including your city residence job-related knowledge skills,and experience:$157250$203500 CADAt Samsara,we welcome everyone regardless their background.All qualified applicants receive consideration employment without regard race,color,religion,national origin ,sex ,gender ,gender identity ,sexual orientation ,protected veteran status ,disability ,age ,and other characteristics protected law.We depend unique approaches team members solve complex problems ensuring Samsara place people backgrounds make impact.Benefits Full time employees receive competitive total compensation package along employee-led remote flexible working health benefits much,much more.Take look Benefits site learn more.Accommodations Samsara inclusive work environment,we committed ensuring equal opportunity employment qualified persons disabilities.Please email accessibleinterviewing@samsara.com click here require reasonable accommodations throughout recruiting process.Flexible Working At Samsara,we embrace flexible working model catering diverse needs.Our offices open those prefer in-person work;we also support remote work where aligns operational requirements.For certain positions being close one office or within specific geographic area important facilitate collaboration access resources alignment service regions.In these cases job description clearly indicates any working location requirements.Our goal ensure all team members contribute effectively whether working on-site hybrid model fully remotely.All offers contingent upon individuals ability secure maintain legal right work company specified location if applicable.Fraudulent Employment Offers Samsara aware scams involving fake job interviews offers.Please know do not charge fees applicants any stage hiring process.Official communication about application only come emails ending @samsara.com,@us-greenhouse-mail.io @mail3.guide.co.For information regarding fraudulent employment offers please visit blog post here.### Samsara's Mission Improve safety efficiency sustainability operations power global economy.Read Samsara's Culture Playbook

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About Samsara

Samsara is a technology company focused on improving the safety, efficiency, and sustainability of operations that power the global economy. They provide AI-powered safety programs, real-time fleet operations tracking, equipment monitoring, and worksite visibility solutions for industries including construction, transportation and warehousing, field services, manufacturing, retail, logistics, and the public sector.

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Senior Machine Learning Engineer at Samsara - RemoteTips