Interview Studio

Requirements found

Training (must) Sales Recruiting

What this posting asks for

Level: Manager — The title says "Manager".

Main responsibilities

• Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents
• Work with RL org leads on prioritizing, ranking, and tracking the state of experiments
• Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what ge…
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off…
• You May Be a Good Fit If You
• Have a background in ML engineering or ML research before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers

Competencies an interviewer will look for

• Technical skill Core
  In the posting: “Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our…” · “The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologie…” · “Strong candidates should have an ML engineering or research background and have grown into program leadership.”
  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: “Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consist…” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
  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: “Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off…” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.”
  Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
• Ownership and accountability Core
  In the posting: “Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our…” · “As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustw…” · “Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what ge…”
  Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
• Planning and organisation Core
  In the posting: “As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustw…” · “You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and team…” · “Work with RL org leads on prioritizing, ranking, and tracking the state of experiments”
  Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
• Data and analysis Core
  In the posting: “You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real …” · “You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and team…” · “Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off…”
  Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
• Adaptability and learning Core
  In the posting: “Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers” · “Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting” · “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
  Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.
• Attention to detail and quality Core
  In the posting: “You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real …” · “Your safety matters to us.” · “This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, S…”
  Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
• Leadership and mentoring Supporting
  In the posting: “Strong candidates should have an ML engineering or research background and have grown into program leadership.”
  Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
• Stakeholder management Supporting
  In the posting: “Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consist…”
  Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.

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