Base Salary
$180k - $230k/yr
Responsibilities
- Write code extending platform functionality and backend services.
- Architect and implement systems supporting new API features and improvements.
- Own the design and evolution of cloud infrastructure, deployment pipelines, and production services.
- Collaborate with research scientists, machine learning engineers, designers, and the broader engineering team.
- Champion well-tested, highly observable software with a focus on reliability and latency.
- Make architectural decisions and own systems from design through production.
Requirements
- At least five years of experience developing backend services.
- Expertise with compute and storage on a cloud platform such as GCP or AWS.
- Experience with Kotlin/Spring, TypeScript/Express, Python/FastAPI, or Rust.
- Deep understanding of modern cloud deployment strategies, including blue/green and canary deployments.
- Familiarity with Kubernetes, Terraform, Argo, and Docker.
- Experience building and maintaining highly available SaaS products focused on scalability, performance, and observability.
- Strong communication and collaboration skills.
- Experience with machine learning concepts is a bonus.
- Experience with relational databases such as PostgreSQL or BigQuery is a bonus.
Benefits
- Remote work is available, with the option to work in New York City or wherever located.
Tech Stack
About Hume AI
Built from a decade of voice and emotion research. To build emotionally intelligent voice AI, we first had to define what “good” sounds like – not just acoustically, but perceptually and in real human conversations. That led us to build the research infrastructure behind expressive, trustworthy voice AI: scientifically grounded datasets, speech models, evaluation frameworks, and human preference pipelines. Today, we make that infrastructure available to frontier labs and AI-native companies building the next generation of voice. Whether you’re building foundation models, fine-tuning voice agents, or evaluating production systems, Hume provides the tools to measure, improve, and align voice AI the way people actually experience them.