Member of Technical Staff, Research

Quadrillion; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Lunch and dinner covered

Varied stipends

Job summary

Quadrillion in New York, NY is seeking a Member of Technical Staff (Research) to innovate in training next-gen models. You'll develop ultra-efficient model training infrastructure, exploring advanced RL techniques and conducting complex evaluations. Join us to turn research into RL environments with a lean, inventive team.

This on-site role includes comprehensive benefits: medical, dental, vision insurance, plus meals. At Quadrillion, we prioritize a culture of diversity and open thought.

Qualifications

• Experience training or benchmarking large, modern models.
• Ability to move quickly in a zero-to-one environment.

Responsibilities

• Build infrastructure for model training and data accumulation.
• Develop RL techniques to improve research models.
• Construct and run evaluations for complex, long-horizon tasks.

Skills

Training large, modern models

Zero-to-one environment capability

Job description

As a Member of Technical Staff (Research) at Quadrillion Labs, you'll help train our next-generation model for research creativity. This is genuinely hard: very few people have post-trained models at the scale of several hundred billion parameters, and we're doing it with a lean team and a set of ingenious ideas — accumulating research data and training on it in an unusually data-efficient way. If you're excited about turning every arXiv paper on the internet into an RL environment, or building fast RL loops between user data and model training, this role may be for you.

What you'll do

• Build infrastructure for model training. You'll build our ultra-efficient infrastructure for scraping and accumulating data, turning it into RL environments, and post-training our frontier model — especially on extremely long-horizon tasks.
• Develop RL techniques. No one has figured out how to train a model that's truly good at research yet. You can help us change that with mysterious RL techniques.
• Construct and run evaluations and benchmarks. Build evaluations for complex, long-horizon tasks and measure both frontier models and our own against them — so we know what's working and where to push next.

Required qualifications

• Experience training or benchmarking large, modern models
• Ability to move quickly in a zero-to-one environment

Preferred qualifications

• Experience training hundreds-of-billions-of-parameters frontier models

About this role

We work in-person 5 days a week out of our office in Midtown Manhattan. We cover generous benefits for employees, including medical, dental, and vision insurance, lunch and dinner covered, and other varied stipends.

We pride ourselves on a company culture that values a diversity of thoughts and opinions.

Equal Employment Opportunity

Quadrillion Labs is an equal opportunity employer. We make hiring and employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state, or local law. We are committed to building a team where talented people can do their best work.

If you need a reasonable accommodation during the application or interview process, let us know at [e-mail].