Iterative
Software Engineer
About the job:
Full-time
About Us
At iterative.ai, we build open-source tools for machine learning DVC (12k+ ⭐ on GitHub), and enterprise-grade data infrastructure solutions. We also offer a team collaboration SaaS solution – Studio. We’re a well-funded (Series A), remote-first team (50+ employees) on a mission to solve the complexities of managing datasets, ML infrastructure, ML models lifecycle, and other ML & data-centric workflows.
We value great collaboration and communication skills, both among internal teams and in how we interact with our users. We take care to balance and be responsive to the needs of our open source community as well as our enterprise customers.
Check us out in other places:
🖥 Website 📂 Docs 👾: GitHub 🖊 Blog ⏯️ YouTube 💬 Discord
Job Description
“… competitive advantage in AI goes not so much to those with data but those with a data engine: iterated data acquisition, re-training, evaluation, deployment, telemetry. And whoever can spin it fastest. ” – A. Karpathy
We are building the next generation of DVC – DVCx that will serve as a core infrastructure component to manage large amounts of unstructured data (e.g. on a scale of the LAION 5B dataset). How to create or improve a dataset in minutes if there are millions or billons of objects in a bucket? How to add additional signals (e.g. embeddings) at scale to a dataset like LAION 5B?
Join us if you have experience in building big-data, distributed data processors (Spark, Ray, etc), if you have experience using data infrastructure like the one that is used in self-driving cars, if you have similar experience and you want to make this unstructured data management tools available in open source and SaaS.
Responsibilities
Own large new areas within our data management software, and build them from ground up
Participate in the entire product lifecycle from concept through production
Be able, and willing, to multi-task and learn new technologies quickly
Must Have
5+ years of industry experience as a software engineer
Experience building or working with AI infrastructure at scale (similar to Tesla’s data engine, Waymo, etc) or similar relevant experience
Solid knowledge of Python
At least one year of experience with file systems, concurrency, multithreading, and server architectures
Passionate about building highly reliable system software
Great to Have
Experience working remotely
Experience working on high performance database internals, or heavily distributed server backends
Prior startup experience
Experience at other API technology companies
Command of modern system-level languages like Go or Rust
ℹ️ Our Hiring Process
We will go over the process with you in the Introductory call to make sure it is clear and you know what to expect.
Here is the full interview process you can expect – It’s our go-to for most positions:
🤙 Introductory call [~1h]
👨🏫 Tech call with a team member [~45m]
👩🏾💻 Take-home coding task [real-world, asynchronous] – We pay for your time! See this FAQ.
🦾 Task summary / retro call [Optional, ~1h]
✏️ Offer
To apply for this job please visit jobs.lever.co.