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Machine Learning Engineer - Remote

Posted 33 weeks ago
Software Development
Full Time
Worldwide
$150k - $220k/year

Overview

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

In Short

  • Join a small, innovative team as a Machine Learning Engineer.
  • Develop machine learning models and drive model development.
  • Work with large datasets and implement data-driven models.
  • Collaborate with cross-functional teams to understand data needs.
  • Utilize Optical Character Recognition (OCR) technology.
  • Ensure data quality and integrity throughout all processes.
  • Research and implement best practices in data science.
  • Contribute to the development of internal data processing tools.
  • Thrive in a fast-paced startup environment.
  • Opportunity to grow as the company scales.

Requirements

  • Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, or related field.
  • Minimum of 3 years of experience with large datasets.
  • Strong coding skills in Python or other object-oriented languages.
  • Graduate-level knowledge of statistics.
  • Excellent work ethic and problem-solving skills.
  • Good communication skills for articulating complex concepts.
  • Experience working in a high output team.

Benefits

  • Competitive salary and equity package.
  • Opportunity to work on a web-scale crawler and knowledge graph.
  • Culture of low ego and high output.
  • Well-capitalized with backing from leading venture funds.
  • Rare opportunity to join a lean team and grow.

Wyndlabs

Wyndlabs

Wynd Labs is an innovative early-stage startup dedicated to making public web data accessible for AI through its unique project, Grass. Grass is a network sharing application that enables users to share their unused internet bandwidth, creating a residential proxy network that rewards individuals for their contributions. With a focus on autonomy and a flat organizational structure, Wynd Labs fosters a culture of initiative and technical excellence among its highly motivated team. The company is driven by ambitious goals to enhance internet equity and improve access to public web data, while also providing competitive compensation and growth opportunities backed by leading venture funds.

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