Wynd Labs is looking for a Machine Learning Engineer to join our small, innovative team. You will lead efforts to advance our technical capabilities, drive model development, and support the ambitious vision for Grass.

What You'll Do

Develop, fine-tune, and deploy LLMs for NLP tasks like text generation, summarization, translation, and sentiment analysis.
Design and implement pipelines for processing and analyzing large datasets.
Analyze and interpret complex time series data to provide actionable insights.
Design, implement, and maintain data-driven models and algorithms.
Collaborate with cross-functional teams to understand data needs and deliver timely solutions.
Ensure data quality and integrity throughout all processes.
Utilize Optical Character Recognition (OCR) technology to convert 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.

What We're Looking For

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, 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, with ability to articulate complex data concepts to non-technical stakeholders.
Experience working in a high output team.

Technical Stack

Python
LLMs
OCR

Team & Environment

You will join a small team that is lean, technical, and moves fast. We have no red tape and prioritize low ego and high output. We are a team of builders with the ambitious goal of improving access to public web data and distributing the value of AI.