![Hume AI Inc](https://media.trabajo.org/img/noimg.jpg)
Core Services Engineer
2 weeks ago
We are seeking a talented software engineer with strong experience in backend web services and infrastructure to advance our core mission: using the world's most advanced technology for emotion understanding to build empathy and goal-alignment into AI.
century.
About Us
Hume AI is dedicated to building artificial intelligence that is directly optimized for human well-being.
We have just raised a Series B funding round and are launching a new flagship product, an empathic AI assistant that can be built into any application.
Where other AI companies see only words, our API can see (and hear) the other half of human communication: subtle tones of voice, word emphasis, facial expression, and more, along with the reactions of listeners.
AI models trained with RLHE can serve as better question answerers, copywriters, tutors, call center agents, and more, even in text-only interfaces.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals.
Nature , and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI ( ).
Axios
and
The Washington Post .
About the Role
As a Core Services Engineer, you will work closely 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.
Responsibilities
Write clear and concise code to extend functionality on our web services.
Collaborate and grow alongside our engineering team.
Leverage and read APIs to create new integrations.
Create tests, metrics and infrastructure to help improve service reliability.
Design new systems to bring improvements and new facets to our APIs.
Requirements
3+ years of experience in developing backend services.
Expertise working with storage and compute on a cloud platform (e.g.
Google Cloud, AWS).
Deep understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc).
Experience using service deployment tooling (e.g. Kubernetes, Docker, Argo).
Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust.
Experience with building and maintaining highly available SaaS products. Ensuring 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.
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