About the job
About Delphina
In today's data-driven world, data scientists face numerous challenges, from tedious data wrangling to the slow process of model development. The reliance on outdated tools, such as Jupyter notebooks and Pandas, hinders progress and innovation.
At Delphina, we are dedicated to transforming the landscape of data science. Our mission is to empower users to harness data more effectively for insights into the present and future. As an AI Agent for Data Science, Delphina combines generative AI, large-scale optimization, and advanced infrastructure to automate the essential yet time-consuming tasks required to build robust machine learning models swiftly. We streamline the process of identifying relevant data, cleaning it, training models, and deploying pipelines.
Our team comprises seasoned professionals who have successfully led large data science and machine learning initiatives, established startups, and developed impactful enterprise ML tools.
We are proud to be backed by leading AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.
Your Role
We are seeking a skilled ML Infrastructure Engineer to join our Technical Staff at Delphina.
As a pivotal early team member, you will collaborate closely with our team to shape the product's direction and influence key technical decisions. Your contributions will significantly impact the technology, product development, and company culture.
Your responsibilities will include:
Creating platforms that enable scientists, researchers, and developers to efficiently execute ML jobs at scale with modern technologies.
Designing solutions to manage and support extensive data workflows through stages such as ingestion, indexing/mining, transformation, machine learning, and deployment.
Establishing a consistent continuous integration/deployment framework to promote self-service application testing, deployment, and operations across cross-functional development teams.
Leading and influencing cross-functional initiatives to align the team on preferred technologies and methodologies.

