🛠 Tech Stack

💼 About This Role

You'll join a team exploring workflow-aware planning, cost-optimized RAG, and multi-agent collaboration to ship research-backed features. Your prototypes and benchmarks will directly influence product direction and open-source contributions.

🎯 What You'll Do

• Explore workflow-aware planning and cost-optimized RAG.
• Prototype and benchmark models; present findings.
• Collaborate with Product Engineering to ship features.
• Contribute to open-source repos and author technical blogs.

📋 Requirements

• MS/PhD in Computer Science, ML, or related field.
• Hands-on with PyTorch/JAX and modern LLM frameworks.
• Strong publication record at top-tier ML venues like NeurIPS, ICML, or ICLR.
• Hands-on experience with large-scale model training and transformer architectures.

✨ Nice to Have

• Demonstrable impactful experimental work.
• Familiarity with reinforcement learning techniques and CUDA.
• Ability to explain complex ideas to non-experts.

🎁 Benefits & Perks

• 🏖️ Flexible work environment with trust-oriented culture.
• 🏥 Health and wellness benefits.
• 📈 Professional development opportunities.
• 🌍 Remote work options (hybrid/remote).
• 🤝 Collaborative team culture.

🚩 Heads Up

• Combines research scientist and engineering responsibilities.
• Requirements include PhD or equivalent experience, but also expect strong publication record.