Remote Principal Machine Learning Engineer

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Description:

  • Design, develop, and implement machine learning models and algorithms for automation and Chrome development, including natural language processing, computer vision, recommendation systems, and predictive analytics.
  • Collect, preprocess, and analyze data from various sources to create clean datasets for model training.
  • Train, fine-tune, and optimize machine learning models using state-of-the-art tools.
  • Identify and engineer relevant features from data to improve model effectiveness.
  • Collaborate with software engineers to deploy machine learning models into production systems.
  • Stay updated with the latest developments in machine learning and apply cutting-edge research to solve business challenges.
  • Work closely with cross-functional teams to understand project requirements and deliver impactful solutions.
  • Maintain detailed documentation of machine learning models, data, and processes for knowledge sharing.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field.
  • Minimum 4 years of experience as a software engineer and at least 1 year of ML experience.
  • Experience at a high-growth technology company.
  • Familiarity with version control systems and CI/CD pipelines.
  • Strong analytical skills and attention to detail.
  • Flexible attitude towards responsibilities and scope.
  • Excellent problem-solving abilities and proactive attitude.
  • Outstanding communication and interpersonal skills.
  • Ability to work effectively in a team-oriented environment.
  • Desire to shape the company culture and contribute to building a best-in-class team.

Benefits:

  • Comprehensive health care benefits including medical, dental, and vision coverage.
  • Flexible paid time off plus 9 paid company holidays.
  • Financial planning support with options like 401K, HSA, and DSA.
  • 12 weeks primary-caregiver parental leave and 6 weeks secondary-caregiver parental leave.
  • Stipends for mental and physical wellness.
  • Work laptop provided.
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