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What this posting asks for

Level: Manager — The title says "Director".

Main responsibilities

• Lead and grow Chime's ML organization, managing managers and staff-level engineers across all of Chime's ML work.
• Set the vision and roadmap for moving Chime's models from traditional approaches to transformer- and foundation-model-based systems.
• Coach your managers to build strong, high-performing teams, and raise the technical bar across the practice.
• Shape the architecture of Chime's ML platform, including how we train, fine-tune, serve and scale models on a modern GPU-based stack.
• Define what good ML looks like at Chime: standards for model development, evaluation, deployment and monitoring.
• Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members.
• Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives.
• To thrive in this role, you have
• Deep machine learning expertise, with a well-formed point of view on transformer and foundation models and where they do (and don't) beat traditional approac…
• Familiarity with GPUs and the modern ML stack, from training and fine-tuning to serving models in production at scale.

Competencies an interviewer will look for

• Planning and organisation Core
  In the posting: “Lead and grow Chime's ML organization, managing managers and staff-level engineers across all of Chime's ML work.” · “🫂 1% of your time off to support local community organizations of your choice” · “👪 Access to family planning reimbursement”
  Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
• Attention to detail and quality Core
  In the posting: “Define what good ML looks like at Chime: standards for model development, evaluation, deployment and monitoring.” · “A track record of building or transforming an ML practice: hiring, setting standards and growing leaders.” · “We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do.”
  Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
• Technical skill Core
  In the posting: “Shape the architecture of Chime's ML platform, including how we train, fine-tune, serve and scale models on a modern GPU-based stack.” · “Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members.”
  Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
• Communication Core
  In the posting: “Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives.” · “Clear communication with executives and cross-functional partners;”
  Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
• Teamwork and collaboration Core
  In the posting: “Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members.” · “Clear communication with executives and cross-functional partners;”
  Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
• Stakeholder management Core
  In the posting: “Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives.” · “Clear communication with executives and cross-functional partners;”
  Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
• Ownership and accountability Supporting
  In the posting: “We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our…”
  Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
• Leadership and mentoring Supporting
  In the posting: “Coach your managers to build strong, high-performing teams, and raise the technical bar across the practice.”
  Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
• Data and analysis Supporting
  In the posting: “Chime's Data Science & Machine Learning team powers decisions across the company, from how we protect members to how we build products for them.”
  Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.

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