Team Manager, LLM Training Research

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:

Anthropic’s LLM Training team is responsible for training our large language models. They run the basic research and experiments to determine the best architecture, data mix, and training process for these models, and then set up, supervise, and manage the training runs. This is a critical team which supports Anthropic’s safety mission – we believe that the best safety research is empirical, and that it is crucial that safety research be done on models that are as close to the frontier as possible – and its commercial mission, by creating the best models for our customers. 
 
Anthropic is seeking managers for multiple teams within Training. In this highly bespoke role, you would work closely with a Training research tech lead, and the two of you would be jointly responsible for leading the team and ultimately ensuring its success.

Why join the LLM Training team?

  • Unique opportunity to work on cutting edge research and go from discovery to implementation & productization at an ever-increasing pace
  • Problem-solving on an unprecedented scale that requires creativity and collaboration
  • Work alongside and learn from world-class researchers who are the best in their field and have deep technical expertise in a wide variety of domains
  • Large overlap between research and engineering: all the research requires engineering, all the engineering requires research
  • Enormous workloads, and a real chance to make a material difference by making even relatively-minor improvements in performance.

Responsibilities:

  • Own people management, cross-team collaboration, and project management for a team of researchers
  • Support your direct reports as a people manager - conducting productive 1:1s, skillfully offering feedback, running performance management, facilitating tough but needed conversations, and modeling excellent interpersonal skills
  • Coordinate with other teams to make sure researchers aren’t blocked
  • Ensure that the team's prioritization and work streams are aligned with its goals
  • Manage day-to-day execution of the team’s work
  • Unblock your reports when they are stuck, and help get them whatever resources they need to be successful
  • Work with the team to up level their project management skills, and act as a project management leader and counselor
  • Coach and develop your reports to decide how they would like to advance in their careers and help them do so
  • Run the team’s recruiting efforts, in concert with the research lead

You may be a good fit if you:

  • Are an experienced manager and enjoy practicing management as a discipline
  • Are a superb listener and an excellent communicator
  • Are an extremely strong project manager and enjoy balancing a number of competing priorities
  • Take complete ownership over your team’s overall output and performance
  • Naturally build strong relationships and partner equally well with stakeholders in a variety of different “directions” - reports, a co-lead, peer managers, and your own manager
  • Enjoy recruiting for and managing a team through a period of growth
  • Effectively balance the needs of a team with the needs of a growing organization
  • Are interested in AI and excited to deepen your skills and understand more about this field
  • Have a passion for and/or experience working with advanced AI systems, and feel strongly about ensuring these systems are developed safely
  • Have a minimum of 1 year of prior management or equivalent experience
  • Have some technical or science-based knowledge or expertise
  • Have basic familiarity in deep learning, AI, and pretraining research, or a desire to learn
  • Have previous direct experience in machine learning, but this is not required

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

The expected salary range for this position is:

Annual Salary:
$315,000$510,000 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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