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    Engineering Manager, Data Platform - San Francisco, United States - Anthropic Limited

    Anthropic Limited
    Anthropic Limited San Francisco, United States

    1 week ago

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    Description


    We are looking for an Engineering Manager to lead the "Tokens: Data Platform" team, which owns the data platform responsible for creating the datasets used by our largest training runs.

    Most of Anthropic's research and product builds on top of the best pretrained models that we can produce, which in turn rely on the best pretraining data.

    These datasets drive the quality of the model and are therefore critical to get right.

    The team's responsibilities are as follows:

    • Own our largest data pipelines required for turning raw data into datasets, in turn used to train our models
    • Ensure that data processing happens seamlessly across petabyte scale and across a broad set of use cases
    • Innovate by creating "data primitives", collaborating with our data research efforts, to create the composable building blocks of data transformations at Anthropic

    Responsibilities:
    Grow, coach and support your reports in understanding, and pursuing, their professional growth

    Prioritize the team's work to make sure data processing is never the bottleneck in generating pretraining data required to launch new training runs

    Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively

    Run the team's recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth

    You may be a good fit if you:

    Believe that advanced AI systems could have a transformative effect on the world, and are interested in helping make sure that transformation goes well

    Are interested in distributed data processing for building the best pretraining datasets, in turn used to build the best LLMs

    Are an experienced manager and actively enjoy people management

    Have at least 1 year of prior engineering management or equivalent experience (e.g. as a tech lead)

    Strong candidates may also have:

    Strong people management experience:
    Coaching, performance evaluation, mentorship, career development

    Have built a large scale data platform (100s of jobs running concurrently processing data at the petabyte scale)

    Technical expertise:
    Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

    Solid project management skills:
    Prioritization, communicating across team/org boundaries

    Experience recruiting for your team:
    Predicting staffing needs, designing interview loops, evaluating candidates and closing them

    Familiarity with Python

    Deadline to apply:
    None. Applications will be reviewed on a rolling basis.

    #J-18808-Ljbffr
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