Wynd Labs

Machine Learning Engineer

Wynd Labs

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $150,000 - $220,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • 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 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 integrity throughout all 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.

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 but not limited to hypothesis testing, regression analysis, and probability.
  • Excellent work ethic and the ability to thrive in a fast-paced startup environment.
  • Strong problem-solving skills and attention to detail.
  • Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
  • Experience working in a high output team.
Benefits
  • 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 share in the benefits of AI development.
  • Culture. We’re a lean team working together to achieve a very ambitious goal of improving access 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
LLMsNLPtext generationsummarizationtranslationsentiment analysisdata processing pipelinesdata-driven modelsPythonstatistics
Soft skills
problem-solvingattention to detailcommunicationcollaborationwork ethic