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Staff Machine Learning Engineer - Remote

Posted 2 weeks ago

Overview

The Staff Machine Learning Engineer on the Applied AI team is a seasoned technical expert focused on building, deploying, and optimizing machine learning and other artificial intelligence systems that turn cutting-edge research into impactful solutions. As a key collaborator with Data Scientists, you will design and implement production-level ML/AI systems that scale business value. You’ll be responsible for creating robust, maintainable pipelines, enhancing performance, and ensuring our AI/ML solutions are seamlessly integrated into VTEX's products. This is a hands-on engineering role that requires deep technical skills and also business value orientation to translate complex problems into simple solutions to meet time to market.

In Short

  • Build and optimize machine learning and AI systems.
  • Collaborate with Data Scientists to design production-level systems.
  • Create robust and maintainable ML pipelines.
  • Enhance performance of AI/ML solutions.
  • Integrate ML models into larger software systems.
  • Communicate effectively with diverse teams.
  • Support colleagues in product development.
  • Work with engineers and product managers to meet business expectations.
  • Experience in Search, Recommendation, or Ads is a plus.
  • Familiarity with Generative AI frameworks is a plus.

Requirements

  • Experience in building end-to-end ML pipelines.
  • Proficient in production-level coding and software engineering best practices.
  • Skilled in integrating ML models with software systems.
  • Strong communication skills.
  • Enjoy collaboration and supporting colleagues.
  • Thrive in a team environment.

Benefits

  • Annual profit-sharing program and equity eligibility.
  • Health, dental, and life insurance with national coverage.
  • Annual budget for professional development in Tech.
  • Language development incentive program.
  • Flexible meal allowance.
  • Extended parental leaves.
  • Child-care assistance.
  • Flexible work schedule and remote-first culture.
  • Financial assistance for work-from-home setup.
  • Wellness program.

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