We are seeking a talented software engineer with strong experience in data engineering to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, 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 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. These behaviors reveal our preferences—whether we find things interesting or boring; satisfying or frustrating; funny, eloquent, or dubious. We call learning from these signals “reinforcement learning from human expression” (RLHE). 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. 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 Axios and The Washington Post.
About the Role
We are looking for an experienced and motivated data engineer to work closely with our research scientists, machine learning engineers, and product team. In this role, you will help train, deliver, and monitor the use of our expression measurement, expression generation, and empathic foundation models as they are deployed in a number of groundbreaking applications. You will be involved in the design, development and maintenance of databases, analytics pipelines, and data collection platforms.
Responsibilities
-
Build and maintain data pipelines to process large datasets for both production and internal services
-
Conduct complex data analyses on datasets of user trends and model training data and report on results
-
Design new database schemas to store data for new functionalities
-
Maintain data processing jobs and systems to help improve data availability and reliability
-
Collaborate and grow alongside our engineering team
Requirements
-
3+ years of experience working in data engineering
-
Passion for learning and working with new data processing and pipeline technologies
-
Ability in data design with an eye for reliability, scale, performance, and maintainability
-
Familiarity working with storage and compute on a cloud platform (e.g. Google Cloud, AWS)
-
Experience in databases (relational and non-relational)
-
Experience with data warehousing (BigQuery, Snowflake, etc)
-
Experience with data analytics/visualization platforms (e.g. Mode, Tableau, etc)
-
Intuition for customer focused development and prioritization
-
Excellent communication and collaboration skills
Bonus
-
Experience with Google Analytics, Datadog, other analytics tools
-
Familiarity with machine learning concepts