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About the role
We are looking for a Machine Learning Engineer with strong skills and significant experience 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 internet's evolution. Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
What they're looking for
- 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
- Experience working with large-scale text datasets, NLP pipelines, or data preparation for LLM training is highly preferred
- Strong coding skills in Python or other object-oriented programming languages
- Experience with text deduplication, dataset filtering, corpus curation, or data distillation is a strong plus
- Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability
More about this role
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 with strong skills and significant experience 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 internet's evolution.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
Bachelor’s, Master’s, or Doctoral degree in Data...
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