We’re looking for an Applied ML Intern (Speech) who wants to work on real-world systems under real production constraints, not just experiments in notebooks.

You’ll take ownership of improving speech models used in production across Southeast Asian languages, accents, and noisy environments. This means dealing with messy data, evolving requirements, and tight constraints on latency, cost, and reliability.

You’ll work closely with engineers and founders to ship models and improvements that directly impact users. Your work won’t stay experimental. It will go live, face real-world conditions, and continuously evolve.

If you’re someone who enjoys debugging hard problems, thinking beyond metrics, and shipping meaningful ML improvements, this role will push you in the right ways.

• Experiment with and improve speech/ASR models across SEA languages and accents
• Design and run experiments under real...