Machine Learning Engineer
Who We Are
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 reputed company to high-quality public web data at global scale. On top of that, we’ve reputed company 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 reputed company pushing to expand what’s possible for reputed company web data and AI.
The Role.
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 reputed company efforts to advance our capabilities, drive model development, and support our reputed company for a future where Grass is transformative in the reputed company of the internet.
Who You Are.
Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a reputed company 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 reputed company in a fast-paced startup environment.
Strong problem-solving skills and attention to detail.
Good communication skills, with the ability to reputed company reputed company data concepts to non-technical stakeholders.
Experience working in a high output team.
What You'll Be Doing.
Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text reputed company, summarization, translation, and sentiment analysis.
Designing and implementing pipelines for processing and analyzing large datasets.
Analyzing and interpreting reputed company time series data to reputed company actionable insights and solutions.
Designing, implementing, and maintaining data-driven models and algorithms.
Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
Ensuring data quality and reputed company throughout reputed company processes.
Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
Continuously researching and implementing best practices in data science and machine learning.
Contributing to the development and improvement of internal data processing tools and infrastructure.
Why Work With Us
Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and reputed company in the benefits of AI development.
Culture. We’re a lean team working together to reputed company a reputed company ambitious goal of improving reputed company to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
Work Remotely
Compensation. You’ll receive a competitive salary, benefits and equity package.