ML Engineer Intern, Applied Science

We’re looking for an ML Engineer Intern (Applied Science) to train models for various realtime English conversational skills improvement use cases.

Example projects include:

• Personalised english learning exercise recommendation system

• Build demographic specific ASRs sensitive to various accents,

• Empathy driven role play, similar to how an offline tutor would interact with a student,

• Training models for grammar/vocab/accentuated pronunciation and similar speech feedback metrics

Intern duration could be from 2 months to 6 months.

The role involves experimenting with different training strategies, creating datasets, building task specific evals, beating our internal SOTA, deploying in production, and repeat!

At Stimuler, we’re building real-time conversational audio AI for English conversational skills improvement as a use case. We see our main competition as offline human English speaking tutors, so building things like empathy focused user experiences, student focused learning plans, and the likes - no longer remain good-to-have’s. Our goal is to build the most effective way to learn how to speak English and have better conversations in real life, via a realtime UX.

We have a task-specific small model focused approach on our AI efforts so far. Our small models beat the best of frontier models on our specific tasks, and are a fraction of the total size!

Desired experience:

• You have past experience of building ML models from scratch. This is an applied science role.

• You’re comfortable creating datasets from scratch, as well as building task specific evals from scratch.

• You should think in a customer-focused way, work in a tight-knit and cross-functional environment - being a team player and willing to take on whatever is best for the company

• Mentor junior MLEs, or learn from battle-tested ones. Contribute to hiring as we expand.

• Good to have: Relevant experience working with NLP, or other speech specific models

Location : Hybrid (Bengaluru, India) | Remote (India)

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