Senior Software Engineer - Backend & Machine Learning
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Before you apply
Salary$180k – $250k
LocationNew York Office, New York, United States
Work modeon-site
Typefull-time
SenioritySenior
DepartmentFull-time
Company size11–50 people
PostedJul 22, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Jul 22, 2025
At a glanceSummarised by Seekless from the posting.
Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy)
Experience building and deploying models for inference services
Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++)
Understanding of core ML concepts including model architecture, training, and evaluation
Expertise working with storage and compute on a cloud platform (e.g. Google Cloud, AWS)
Excellent communication and collaboration skills
Familiarity with data engineering principles and/or building large-scale data pipelines
Familiarity with building and deploying LLM-integrated products
Experience working at the intersection of machine learning research and engineering
Understanding of modern deployment strategies utilizing cloud technologies (e.g. blue/green, canary deployments, etc)
Experience using service deployment tooling (e.g. Kubernetes, Helm, Docker, Argo)
Skills
Python
PyTorch
JAX
TensorFlow
XGBoost
sklearn
pandas
numpy
Kotlin
Go
Rust
Java
C++
Google Cloud
AWS
Kubernetes
Helm
Docker
Argo
About the role
Hume AI is seeking a talented senior software engineer with experience in backend services and ML infrastructure 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
We are looking for an experienced and motivated senior engineer with experience in backend services and ML infrastructure. In this role you will help us integrate cutting edge AI models into services and toolkits for researchers and developers. You will work closely with research scientists and other engineers to build new capabilities into the Hume platform, and you will have the opportunity to take part in a wide range of engineering initiatives across backend applications, cloud infrastructure, and the ML lifecycle, including evaluation and deployment at scale.
Requirements
•
Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy).
•
Experience building and deploying models for inference services.
•
Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++).
•
Understanding of core ML concepts including model architecture, training, and evaluation.
•
Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS).
•
Excellent communication and collaboration skills.
Bonus
•
Familiarity with data engineering principles and/or building large-scale data pipelines.
•
Familiarity with building and deploying LLM-integrated products.
•
Experience working at the intersection of machine learning research and engineering.
•
Understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc).
•
Experience using service deployment tooling (e.g. Kubernetes, Helm, Docker, Argo).
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—$250,000 USD
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