ashby
Machine Learning Engineer / ML Engineer - Roleplay Sessions
Synthesia
Remote, GBR
Full-time
Mid
Remote
CHF 12000 / hour
Discovered 1 weeks ago
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Role Overview
Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve.
Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching.
For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does.
This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products.
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About the role
Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve.
Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching.
For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does.
This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products.
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