Engineering Manager, Pretraining Data Platform

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

We are looking for an Engineering Manager to lead the “Pretraining 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:
1. Own our largest data pipelines required for turning raw data into datasets, in turn used to train our models
2. Ensure that data processing happens seamlessly across petabyte scale and across a broad set of use cases 
3. 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. 

The expected salary range for this position is:

Annual Salary:
$315,000$625,000 USD

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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*

Anthropic’s 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 - For eligible roles, 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.
  • 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.

UK Benefits -  The following benefits are for our UK-based employees:

  • Optional equity donation matching.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 21 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Health cash plan.
  • Life insurance and income protection.
  • Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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logo Anthropic Engineering Manager Full-time 💰 315K - 625K Hybrid 📍 San Francisco, CA | New York City, NY | Seattle, WA Apply Now
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