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Staff Machine Learning Engineer - Search - Remote

Posted 7 weeks ago
Software Development
Full Time
USA

Overview

As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on the user experience.

In Short

  • Design and implement NLP-based systems.
  • Lead technical initiatives across multiple teams.
  • Build and deploy high-performance ML systems.
  • Mentor fellow engineers and foster collaboration.
  • Work with large datasets and data pipelines.
  • Utilize Python, TensorFlow, and PyTorch.
  • Implement online/offline evaluation strategies.
  • Contribute to the codebase and deliver features.
  • Influence the direction of ML projects.
  • Work in a flexible environment, either remotely or in the office.

Requirements

  • 7+ years of experience in NLP and information retrieval systems.
  • 2+ years leading technical initiatives.
  • Experience in building high-performance ML systems.
  • Proficiency in Python and ML frameworks.
  • Experience with deploying ML models in production.
  • Understanding of search algorithms.
  • Excellent communication skills.
  • Ability to implement evaluation strategies.

Benefits

  • Equity in Fetch.
  • 401k match up to 4%.
  • Comprehensive medical, dental, and vision plans.
  • $10,000 per year in education reimbursement.
  • Paid Time Off and 9 paid holidays.
  • 20 weeks of paid parental leave.
  • $2,000 incentive for new family members.
  • Flexible work environment.
Fetch logo

Fetch

Fetch is a dynamic and innovative company focused on enhancing the shopper journey through strategic partnerships and data-driven solutions. With a commitment to fostering strong relationships with brand partners, Fetch operates remotely across the United States, particularly engaging with clients in the Greater New York City Area. The company values collaboration and teamwork, ensuring that all employees are invested in its success. Fetch offers competitive compensation, equity options, and comprehensive benefits, including support for both employees and their pets. The company is dedicated to creating an inclusive workplace and provides opportunities for continuing education and robust leave policies.

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