🛠 Tech Stack

💼 About This Role

You'll transform foundational research ideas into scalable ML systems for structured enterprise data. Your work will directly impact cost and latency improvements across petabytes of data, bridging theory and production. You'll collaborate with world-class researchers and systems engineers on the next generation of efficient AI infrastructure.

🎯 What You'll Do

• Transform research ideas into scalable algorithms and prototypes
• Build evaluation harnesses, datasets, and benchmarks for structured AI
• Develop efficient ML pipelines using PyTorch or JAX
• Design systems integrating symbolic, relational, and neural components

📋 Requirements

• Strong background in machine learning, probabilistic modeling, or optimization
• Experience building algorithms for structured, relational, tabular, or graph data
• Hands-on experience with PyTorch, JAX, or TensorFlow
• Strong programming skills in Python

✨ Nice to Have

• Experience with systems languages such as Rust, C++, or CUDA
• Experience building large-scale training infrastructure or distributed ML
• Open-source contributions bridging research and production

🎁 Benefits & Perks

• 💰 Competitive salary, meaningful equity, and substantial bonus
• 🏖️ Flexible time off plus comprehensive health coverage
• 📚 Support for research, publication, and deep technical exploration