Machine Learning Engineer

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.

We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where Grass is transformative in the evolution of the internet.

Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.

A minimum of 3 years of work or research experience dealing with large datasets.

Strong coding skills in Python or other object-oriented programming languages.

Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.

Excellent work ethic and the ability to thrive in a fast-paced startup environment.

Strong problem-solving skills and attention to detail.

Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.