Research Engineer, Tokens (Pre-training)

Position Overview

• Location Type: Hybrid
• Employment Type: Full-time
• Salary: $280,000 - $425,000 USD

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.

You will be responsible for pretraining data research. You may be working on understanding pretraining data trends and scaling laws, optimizing pretraining data mixes, investigating potential new sources of data, building research tools to better understand experimental results, or figuring out how to process and use pretraining data most effectively.

You may be a good fit if you:

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Are comfortable with a very empirical research environment
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• Language modeling with transformers
• Large-scale ETL
• Designing ML experiments and researching ML fundamentals
• Inspecting and iterating on data (e.g. ML competitions, Quantitative Finance)

Representative Projects

• Comparing the compute efficiency of different datasets
• Making a multimodal dataset in a format models can easily consume
• Scaling a data processing job to thousands of machines
• Designing a research tool to analyze and manage data ablation experiments
• Creating an interactive visualization of semantic clusters in our training data

Requirements

• Bachelor’s degree in a related field or equivalent experience.

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.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Application Instructions

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.