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    Engineering Manager, Finetuning Infrastructure - San Francisco, United States - Karkidi

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    Description
    Anthropics Finetuning Infrastructure team builds the systems that support our large-scale distributed finetuning runs.

    As manager of the team, youll support a team of machine learning and distributed systems experts, with the goal of making these systems highly efficient, supporting fast iteration on model development, and evolving the infrastructure continuously to incorporate new research advances.

    Our finetuning infrastructure sits at the intersection of almost every technical group at Anthropic.

    Youll work with research teams to incorporate their innovations into our production finetuning pipeline; product teams to help us iterate quickly on customer-oriented model improvements; and infrastructure teams to make sure our training runs are as efficient as possible.

    About Anthropic
    Anthropic is an AI safety and research company thats working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

    Responsibilities:
    Prioritize the teams work, in collaboration with the technical lead, research teams, and product teams, to support fast iteration on research projects and training runs
    Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively
    Coach and support your reports in understanding, and pursuing, their professional growth
    Run the teams 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 an experienced manager (at least 1 year) and actively enjoy people management

    Are a quick study:
    this team sits at the intersection of a large number of different complex technical systems that youll need to understand (at a high level) to be effective

    Strong candidates may also:
    Experience working with research teams, especially as part of a research to production pipeline

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

    Strong 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
    Annual Salary (USD)
    The expected salary range for this position is $320k - $600k.
    Logistics
    Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

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

    US visa sponsorship:

    We do sponsor visas However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support.

    But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

    We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

    Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

    We think AI systems like the ones we're building have enormous social and ethical implications.

    We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

    Compensation and Benefits
    Anthropics compensation package consists of three elements: salary, equity, and benefits.

    We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

    Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation.

    We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

    US Benefits - The following benefits are for our US-based employees:
    Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
    Comprehensive health, dental, and vision insurance for you and all your dependents.
    401(k) plan with 4% matching.
    22 weeks of paid parental leave.
    Unlimited PTO most staff take between 4-6 weeks each year, sometimes more
    Stipends for education, home office improvements, commuting, and wellness.
    Fertility benefits via Carrot.
    Daily lunches and snacks in our office.
    Relocation support for those moving to the Bay Area.

    #J-18808-Ljbffr


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