🛠 Tech Stack

💼 About This Role

You'll build core ML components for a proactive AI chat app focused on reliable long-running workflows. Your work will directly impact real-world task completion and multi-step reasoning. You'll ship improvements iteratively and debug production issues with senior engineers.

🎯 What You'll Do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger 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.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Able to work through ambiguity with guidance and grow ownership over time.

✨ Nice to Have

• Curious and coachable personality.
• Bias toward shipping and iteration.

🎁 Benefits & Perks

• 🏖️ Flexible remote work
• 💻 High talent density team
• 🚀 Rapid iteration and learning
• 🌍 Global impact

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Technical Interview· 1 hour
3. 3Team Interview· 1 hour
4. 4Offer Decision· 1 week