Senior Software Engineer – Shape the Future of AI & ML Data Infrastructure

Ready to build something revolutionary from scratch? This is your opportunity to develop a next-generation data platform powering AI, Machine Learning, and leveraging the innovative open-source data engine, Daft.

You’ll be working with Researchers from leading AI Labs as part of a brand new team

Your Role

• Build critical features from intuitive APIs and dashboards to distributed schedulers and Rust-based execution engines.
• Integrate Daft with modern technologies like Ray, Apache Iceberg, Unity Catalog, and Delta Lake.
• Rapidly iterate using direct feedback from leading AI researchers and labs.
• Engage hands-on with infrastructure, prototyping, and user-driven design.

What You Bring

• 10+ years of engineering experience (full-stack, distributed systems, ML infrastructure).
• Proven track record of building products from 0 to 1, ideally at startups or entrepreneurial projects.
• Active open-source contributions or personal projects demonstrating innovation.
• Familiarity with tools like Pandas, NumPy, Scikit-Learn, PyTorch, Spark, and some exposure to systems languages like Rust or C++.
• Experience translating user feedback into effective development roadmaps.
• CS education from a top-tier institution (e.g., Stanford, MIT, Berkeley, CMU, Caltech, UIUC).

Key Technologies

• Languages: Python, Rust, C++ (Rust/C++ experience beneficial, not mandatory)
• Frameworks: Daft, Spark, Ray, Apache Iceberg, Delta Lake
• Cloud: AWS, S3, Unity Catalog