HireFT
Browse JobsHow it worksPricingAboutSuccess Stories
    Back to jobs
    HU

    Hume AI

    Artificial Intelligence

    Senior Software Engineer - Backend & Machine Learning

    New York, United StatesOn-SiteFull-time$180k – $250k / yearPosted 1mo ago
    All Hume AI jobs

    Job description

    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

    Job details are sourced from the employer's original posting.

    Open job posting
    HU

    About the company

    Hume AI

    Hume AI is building empathetic AI that understands human expression. They are working to create technology that can interpret nonverbal cues and emotional states.

    View all Hume AI jobs
    Industry
    Artificial Intelligence
    Founded
    2021
    Open roles
    5

    Interested in this role?

    Apply with HireFT

    Free to start — no card required.

    Your fit

    How well do you match?

    Sign in to see how your résumé lines up with this role.