🛠 Tech Stack

💼 About This Role

You'll build core ML systems for a proactive AI chat app, owning end-to-end development from data to production. You'll debug model failures using real signals and iterate quickly to deliver high reliability for long-running workflows. This role offers the chance to mentor peers and ship systems that serve real users at scale.

🎯 What You'll Do

• Build core ML systems for proactive, long-horizon AI products.
• Own end-to-end ML lifecycle: data, training, evaluation, inference.
• Debug model failures using real production signals.
• Iterate quickly: ship, measure, refine, and repeat.

📋 Requirements

• 5+ years of experience in building and shipping ML systems.
• Strong Python and production-quality coding skills.
• Experience with PyTorch or JAX for training and inference.
• Proven ability to work independently on ambiguous problems.

✨ Nice to Have

• Experience with GPU-based training systems.
• Familiarity with long-running workflow reliability.
• Background in AI chat or assistant products.

🎁 Benefits & Perks

• 🏖️ Remote work flexibility.
• 💰 Competitive salary and equity.
• 📈 High-impact role at an early-stage company.

📨 Hiring Process

Up to 4 interviews with technical team members, conducted virtually or onsite.

🚩 Heads Up

• Listing mentions 'senior' but does not specify minimum years; inferred from title.