Research Engineer, Tokens (Pre-training)

Anthropic; San Francisco (CA); Hybrid; USD 280,000 - 425,000; Full time

Job summary

Join a forward-thinking company dedicated to creating safe and beneficial AI systems. This role focuses on pretraining data research, where you'll analyze trends, optimize data mixes, and build tools to enhance experimental understanding. Collaborate with a diverse team of experts in a flexible, results-oriented environment that values communication and impact. If you are passionate about AI's societal implications and enjoy empirical research, this position offers a unique opportunity to contribute to groundbreaking projects in the AI field.

Benefits

Competitive compensation

Generous vacation

Parental leave

Flexible working hours

Equity donation matching

Collaborative office space

Qualifications

• Significant software engineering experience is essential.
• Comfortable in an empirical research environment.

Responsibilities

• Responsible for pretraining data research and optimization.
• Investigate new data sources and build research tools.

Skills

Software Engineering

Empirical Research Skills

Flexibility

Impact Orientation

Education

Bachelor's degree in a related field

Tools

ML Frameworks

Data Processing Tools

Job description

Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY

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:

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
• 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

The expected salary range for this position is: $280,000 - $425,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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.

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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