Nuance Labs interview preparation.

A track record of personally running acquisition campaigns and improving measurable business or product outcomes, with depth in at least one paid channel.

You can explain the budget, your contribution, the results, and the tradeoffs.

We value evidence of independent execution; previous team management or ownership of a global marketing function is not required.

At least 3 years of experience in commercial or technology transactions, ideally with a mix of law firm and in-house experience.

Strong drafting and negotiation skills, with a track record of independently managing multiple deals from start to finish.

Experience with data licensing, data acquisition, or AI-related legal issues.

A PhD — completed, or in its final stretch — in ML, RL, or a related field, with research depth shown through publications, a strong lab/advisor, or substantial open-source work.

Solid understanding of RL/post-training methods: policy optimization, reward modeling, preference optimization, rejection sampling, KL control, evaluation, and data feedback loops.

Ability to reason about model behavior and training dynamics: reward hacking, unstable rewards, distribution shift, stale policies, mode collapse, over-optimization, noisy preferences, and evaluation mismatch.