Machine Learning Engineer

Stack

Responsibilities

• ▹Develop data processing pipelines and machine learning solutions for large-scale NLP and LLM applications, including improving the quality, filtering, and preparation of training datasets
• ▹Design and implement pipelines for processing and analyzing large datasets
• ▹Analyze and interpret complex time series data to provide actionable insights and solutions
• ▹Design, implement, and maintain data-driven models and algorithms
• ▹Develop techniques for dataset curation to improve the quality and efficiency of AI training data
• ▹Build scalable pipelines for filtering, deduplicating, and improving large-scale text datasets used for LLM training
• ▹Collaborate with cross-functional teams to understand data needs and deliver timely solutions
• ▹Ensure data quality and integrity throughout all processes
• ▹Utilize OCR technology to convert different types of documents into editable and searchable data
• ▹Continuously research and implement best practices in data science and machine learning
• ▹Contribute to the development and improvement 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
• ▹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 hypothesis testing, regression analysis, and probability
• ▹Excellent work ethic and ability to thrive in a fast-paced startup environment
• ▹Strong problem-solving skills and attention to detail
• ▹Good communication skills, able to articulate complex data concepts to non-technical stakeholders
• ▹Experience working in a high output team

Nice to have

• ▹Experience working with large-scale text datasets, NLP pipelines, or data preparation for LLM training
• ▹Experience with text deduplication, dataset filtering, corpus curation, or data distillation

Soft skills

What we offer

• ▹Competitive salary, benefits, and equity package
• ▹Fully remote team

About the company

Wynd Labs builds infrastructure that delivers large volumes of web data to companies training the world's most powerful AI models. The team powers Grass, a bandwidth-sharing network enabling a large-scale distributed crawler, and builds pipelines for ingesting, segmenting, and annotating video, transcript, and audio data for frontier AI labs. Fully remote team.