Applied ML Manager

Tech Stack

Responsibilities

• Manage and grow the ML team through clear expectations, regular feedback, and strong coaching.
• Define quarterly ML goals and success metrics, establish baselines, and build a visible "scoreboard" for progress.
• Drive end-to-end execution on key ML initiatives: planning, evaluation, iteration, rollout, and impact measurement.
• Build a repeatable model evaluation and experimentation process (quality, performance, reliability), including rollout criteria.
• Partner with Product and Engineering leaders to align roadmaps, clarify ownership, and ensure ML work is shippable and predictable.

Soft Skills

Benefits

• Health Insurance

Culture

Requirements