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Machine Learning Engineer

OKX
San Jose, California, United States
Full time
$92,426 - $238,513 per year

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

$92,426 - $238,513 per year

Location

San Jose, California, United States

Company size

Mature [ 50+ employess ]

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We are seeking a highly skilled and experienced Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will develop and implement advanced machine learning models to enhance fraud detection.

Requirements

  • At least 3-5 years of experience in Machine Learning Engineering.
  • Proficiency in Python and familiarity with Java.
  • Solid understanding of common machine learning models, including experience with frameworks like LightGBM, XGBoost and transformer based language model.
  • Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis.
  • Knowledge of at least one neural network framework, such as PyTorch, Tensorflow, JAX.
  • Experience in building and maintaining data pipelines.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills.
  • Familiar with at least one major cloud services, like AWS, CGP, Azure or Alicloud

    • Responsibilities

  • Design, develop, and deploy machine learning models to detect and prevent fraudulent activities.
  • Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize existing machine learning systems for performance and scalability.
  • Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows.
  • Conduct research and implement new machine learning techniques and methodologies.
  • Mentor junior team members and contribute to knowledge sharing within the team.

    • Benefits

  • Competitive total compensation package
  • L&D programs and Education subsidy for employees' growth and development
  • Various team building programs and company events
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