Machine Learning Engineer I

New

Skills

Code Reviews Data Analysis Graph Neural Networks Machine Learning Python PyTorch SQL TensorFlow Testing Version Control

As a Machine Learning Engineer I, you will own end-to-end machine learning models from framing to deployment. You will innovate on models to improve core relevance signals and collaborate with engineers, data scientists, and product managers on experiments.

Key Responsibilities
  • Own end-to-end ML models from framing to deployment.
  • Innovate on models to enhance core relevance signals.
  • Collaborate with engineers, data scientists, and PMs on experiments.
  • Work with ML infrastructure including embedding-based retrieval and Graph Neural Networks.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 1–3 years of ML industry or research experience.
  • Proficiency in Python and experience with PyTorch or TensorFlow.
  • Strong knowledge of ranking, classification, regression, and evaluation.
  • Familiarity with version control, testing, and code reviews.
  • Experience with SQL and data analysis.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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