🛠 Tech Stack

💼 About This Role

You'll build core ML components for a proactive AI chat app that handles long-running workflows and real-world task completion. You'll work on production systems from day one, learning how large-scale ML behaves outside of research settings.

🎯 What You'll Do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of production systems.
• Implement evaluation and testing to understand model behavior.
• Debug model issues, performance problems, and production incidents.

📋 Requirements

• Strong foundations in machine learning and modern neural architectures.
• Some hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.

✨ Nice to Have

• Curious and eager to learn from real systems in production.
• Able to work through ambiguity with guidance.
• Bias toward shipping, iteration, and continuous improvement.

📨 Hiring Process

If there appears to be a fit, we'll reach out to schedule 3-4 interviews, conducted virtually or onsite, with a prompt decision.