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Hume AI

Senior Platform Engineer

  • Seen live on Hume AI's site today
  • Senior
Pay
$180k to $230k a year USD
Location
New York, New York, United States
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Hume AI's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Hume AI, so its true age is longer.

Last checked Nov 4, 2026.

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What it asks of you

5+ years of experience
“5+ years of experience in developing backend services.” (quoted from the posting)

What the posting discloses

Pay
$180k to $230k a year USD
$180,000 — $230,000 USD (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Hume AI is seeking a talented senior software engineer with strong experience in backend services and cloud infrastructure platforms who is interested in working with our team to build state-of-the-art audio models and evaluation tools. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.

About Us

Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises.

Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature , and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI ( www.thehumeinitiative.org ). You can learn more about us on our website ( https://hume.ai/ ) and read about us in WIRED , Forbes , and Venturebeat .

About the Role

As a Senior Platform Engineer, you will work directly with our team of research scientists, machine learning engineers, and designers to improve the services that allow us to deliver expression measurement, expression generation, and empathic foundation models in a number of groundbreaking applications. You will support cutting-edge research by contributing to the design, construction, and maintenance of a modern and efficient cloud AI infrastructure and the applications that run on it. You will be expected to operate with a high degree of autonomy, make sound architectural decisions, and take ownership of systems from design through production.

Responsibilities

  • Write clear and concise code to extend functionality on our platform and backend services.
  • Architect and implement systems that enable new features and improvements of our API.
  • Own the design and evolution of our cloud infrastructure, from deployment pipelines to production services.
  • Communicate, collaborate, and grow alongside our engineering team.
  • Champion well-tested, highly observable software with a focus on reliability and latency.

Requirements

  • 5+ years of experience in developing backend services.
  • Expertise working with compute and storage on a cloud platform (e.g. GCP, AWS).
  • Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust.
  • Deep understanding of modern deployment strategies utilizing cloud technologies (e.g. blue/green, canary deployments, etc).
  • Familiarity with service deployment tooling (especially Kubernetes, Terraform, Argo, Docker).
  • History building and maintaining highly available SaaS products which ensure scalability, performance, and observability.
  • Excellent communication and collaboration skills.

Bonus

  • Experience with machine learning concepts.
  • Experience with relational databases (PostgreSQL, BigQuery, etc.).

Application Note

Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.

Annual Salary

$180,000 — $230,000 USD

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