Team Manager, LLM Training Research

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.
About AnthropicAnthropic is an AI safety and research company that’s 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.

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.

In this role, you would:

• 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 might 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.

Other requirements:

• A minimum of 1 year of prior management or equivalent experience
• Some technical or science-based knowledge or expertise
• Basic familiarity in deep learning, AI, and pretraining research, or a desire to learn
• Previous direct experience in machine learning is a plus, but not required.

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 consist