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ML/AI - Supply Chain

Samsara

Samsara logo
  • Job
  • Remote · United States
  • Deadline: Rolling Deadline
  • Application deadline
    Rolling Deadline
  • Funding
    Paid
  • Work style
    Remote / online

Posted: today

Opportunity details

ML/AI - Supply Chain at Samsara is a full-time role in Canada, United States (Remote), offered as remote/hybrid, with a reported salary range of $178,640–$319,000 per yr. It is currently listed on Himalayas. Applications are handled directly by the employer, not by GoOpportunities.

At a glance

  • Category
    Job
  • Employment type
    Full Time

About the opportunity

Role overview

This is a full-time ML/AI - Supply Chain opening at Samsara based in Canada, United States (Remote). The details below are assembled from the factual fields recorded when the listing was discovered; GoOpportunities does not reproduce the employer's own description text. Always confirm the current role scope, compensation, and requirements on the employer's application page.

Listing facts

  • Company: Samsara
  • Role: ML/AI - Supply Chain
  • Workplace: Full Time
  • Location: Canada, United States (Remote)
  • Remote: Yes
  • Salary range: $178,640–$319,000 per yr
  • Skills / keywords: Machine-Learning-Engineer, Applied-Scientist, Data-Scientist, Supply-Chain-Analytics-Engineer

Eligibility criteria

Formal eligibility (education, years of experience, and work-permit or sponsorship status) is set by the employer and is not published in the structured data we captured. The role is associated with these skills/keywords: Machine-Learning-Engineer, Applied-Scientist, Data-Scientist, Supply-Chain-Analytics-Engineer. Review the full criteria on the employer's application page before you apply.

Benefits & funding

Reported compensation for this role: $178,640–$319,000 per yr. Additional benefits are defined by the employer on the posting.

Requirements

Application materials for roles like this typically include an up-to-date CV/resume demonstrating: Machine-Learning-Engineer, Applied-Scientist, Data-Scientist, Supply-Chain-Analytics-Engineer. The exact documents and assessments required are published by the employer on the posting.

How to apply

  1. Confirm the ML/AI - Supply Chain role and its requirements on the employer's application page.
  2. Prepare an up-to-date CV/resume tailored to the role. Highlighting: Machine-Learning-Engineer, Applied-Scientist, Data-Scientist, Supply-Chain-Analytics-Engineer.
  3. Open the Himalayas posting using the button on this page and apply through the employer link it provides.
  4. Track your application status on the employer's careers site or applicant portal.

About the organization

Samsara

Frequently asked questions

What is the ML/AI - Supply Chain role at Samsara?

ML/AI - Supply Chain is a full time position at Samsara, Canada, United States (Remote). Reported salary range: $178,640–$319,000 per yr. Full role details are published by the employer on the application page.

Where is the ML/AI - Supply Chain position located?

This role at Samsara is listed as remote/hybrid, with a stated location of Canada, United States (Remote).

Is the ML/AI - Supply Chain role at Samsara paid?

The captured listing reports a salary of $178,640–$319,000 per yr.

Can I work remotely as a ML/AI - Supply Chain at Samsara?

Yes, the listing is marked as remote or hybrid. Confirm the exact policy, time-zone and country restrictions with the employer before applying.

What type of employment is the ML/AI - Supply Chain role?

The listing describes this as a full time position.

What skills does the ML/AI - Supply Chain role emphasise?

The listing is associated with these skills/keywords: Machine-Learning-Engineer, Applied-Scientist, Data-Scientist, Supply-Chain-Analytics-Engineer. The employer's own requirements page is authoritative.

When was the ML/AI - Supply Chain role at Samsara posted?

The source board recorded this listing as posted on 2026-11-08. Roles can fill quickly, so apply early.

How do I apply for the ML/AI - Supply Chain role?

This listing links to the Himalayas posting. Open it via the button on this page, then follow the employer's application link it provides. GoOpportunities is a discovery platform and does not process applications.

Always verify before you apply

This information is sourced from official institutions and verified at the time of publication. Deadlines, requirements, and funding details may change — always verify the latest information on the official website before applying. GoOpportunities is a discovery platform, never charges applicants, and is not involved in the application or selection process.