Machine Learning Engineer

About the Company

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models. We power and support Grass, a bandwidth-sharing network that operates a massive distributed crawler, providing unique access to high-quality public web data at global scale.

Responsibilities

• Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis
• Designing and implementing pipelines for processing and analyzing large datasets
• Analyzing and interpreting complex time series data to provide actionable insights
• Designing, implementing, and maintaining data-driven models and algorithms
• Collaborating with cross-functional teams to understand data needs
• Ensuring data quality and integrity throughout all processes
• Utilizing Optical Character Recognition (OCR) technology to convert documents into searchable data
• Researching and implementing best practices in data science and machine learning
• Contributing to the development of internal data processing tools and infrastructure

Requirements

• Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field
• 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 (hypothesis testing, regression analysis, probability)
• Ability to thrive in a fast-paced startup environment
• Strong problem-solving skills and attention to detail
• Ability to articulate complex data concepts to non-technical stakeholders
• Experience working in a high output team