Machine Learning Engineer

📋 Description

• Build core ML systems powering a proactive, long-horizon AI product.
• Own data prep, training, evaluation, inference, iteration.
• Turn research ideas into production systems that run reliably.
• Debug model failures and system issues using real production signals.
• Ship quickly, measure outcomes, refine, and repeat.
• Collaborate closely with research, product, and engineering teams.
• Mentor and review work from other ML engineers.
• Work under production constraints: latency, cost, reliability, safety.

🎯 Requirements

• Python
• PyTorch / JAX
• GPU-based training and inference systems
• Experience building and shipping ML systems used by real users.
• Strong understanding of ML model behavior in production.
• Ability to write production-quality code and think in systems, not scripts.
• Independent ownership: driving work across the finish line.
• Fast learner, clear communicator, iterative mindset.