About Abundant

AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.

Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers.

Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience.

What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already solved. What’s missing? The data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from text to multimodal and physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, hence “_abundant data_”.

Abundant works with a majority of the top AI labs, as well as frontier startups and F500 enterprises.

About the Role

As an RPM intern, you'll spend the summer working side-by-side with the Abundant founders to ensure our simulations are continuously pushing the boundaries of what frontier models can accomplish.

WHAT YOU’LL DO

• Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.
• Perform literature review: headroom analysis, identifying recent work in academic and industry circles.
• Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.
• Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where models and agents are underperforming, turning these insights into evaluation and training data.
• Work on data pipelines: internal tooling to support research operations.

WHO YOU ARE

• Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.
• Research-oriented — Able to read papers and keep up with SOTA literature.
• Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.
• Creative problem solver — You leverage creativity and research skills to design projects from the ground up.
• Must be highly proficient with coding agents such as Codex or Claude Code.

Why Join Abundant?

1. You’ll get to work on the core of AI (models and data), serving top researchers in the field.
2. You’ll get to work with experienced operators who care deeply about building a team and having a long-lasting impact.
3. You will future-proof your career, as all work moves from the first-order (doing the work) to second-order (automating the work).

Why not join Abundant?

Here’s what you’re signing up for when you interview with us.

1. We have high appetite for risk and ambition. A lot of work will feel like experimental research, because it is!
2. We enjoy working with other folks who hold themselves to the highest standard, and expecting our teammates to hold us to the same bar.
3. The simulation/RL industry is new, fast-paced and dynamic. We value first-principles thinking over prior experience. You may not end up using any of the skillsets you come in with.

Here are three different personas that will succeed at Abundant:

The Craftsman

The Craftsman cares about their work, simply for the art of it. They may put extra care into UX or design, or into data quality, or customer success. The Craftsman is energized by putting out great work.

The Underdog

The Underdog is dying to prove themselves. They’ve overlooked; they haven’t challenged by their school or company, or they are tired of politics at a FAANG company. They’re looking for a chance to maximize their full potential and talent.

The Antifragilist

Our team collectively has an uncommon trait: high pain tolerance. The Antifragilist is not simply stoic in the face of challenge. They are like an immune system: they grow and become stronger in the face of each challenge.