Engineering Manager, LLM Scaling - San Francisco, CA, United States - Money Fit by DRS

Description

We are looking for an Engineering Manager to lead the "LLM Scaling" team, which owns the operation of our largest training runs. Most of Anthropic's research and product builds on top of the best pretrained models that we can produce. These models typically take months to train on massive clusters, and are therefore critical to get right.

The team's responsibilities are as follows:

1. Design and implement parallelism strategies for training frontier large language models

2. Diagnose root causes of crashes that take down the training run and develop solutions in collaboration with other teams

3. Maximize efficiency by profiling the run, identifying bottlenecks, and optimizing training code

4. Collaborate with our Systems team, cloud providers, and hardware chip providers to manage current and future clusters

About Anthropic

Anthropic 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.

Responsibilities:

• Prioritize the team's work to make sure our large model training runs finish as quickly as possible, in collaboration with senior engineers and other stakeholders
• 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 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
• Have an interest in large scale systems (thousands to hundreds of thousands of machines), distributed training, networking, and LLMs
• Are an experienced manager and actively enjoy people management
• Have experience with code review and helping unblock engineers
• 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
• Deep understanding of GPUs or TPUs, HPC, and networking
• 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

Annual Salary (USD)

• The expected salary range for this position is $300k - $600k USD.

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*

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 - 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.

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

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Private health, dental, and vision insurance for you and your dependents.
• Pension contribution (matching 4% of your salary).
• 22 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 based 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.