ML Engineer

Los Angeles FULL TIME $110,000 - $140,000 / Year
($9,166 - $11,666 / Month)

Job Description

We are seeking a skilled ML Engineer (NLP) to join our dynamic team in Los Angeles. The ideal candidate should have a robust understanding of natural language processing techniques and machine learning algorithms. This role offers the chance to work on innovative projects and contribute to cutting-edge AI solutions.

Responsibilities

  • Design, build, and optimize scalable NLP solutions.
  • Collaborate with cross-functional teams to achieve project goals.
  • Troubleshoot and resolve issues in machine learning models.
  • Implement best practices for data handling and model development.
  • Participate in code reviews to ensure quality standards.
  • Engage in research projects to advance company capabilities.

Requirements

Education
  • Bachelor's degree in Data Science, Machine Learning, or related field
  • Master's degree in a related field is preferred
Experience
  • 3+ years of practical experience in NLP and machine learning
Technical Skills
  • Python
  • NLP Frameworks
  • Machine Learning Algorithms
  • Data Visualization Tools
Soft Skills
  • Critical Thinking
  • Effective Communication
Certifications
  • AWS Certified Machine Learning
  • Certified Data Engineer
Languages
  • English: Fluent

Advantageous

  • Contributions to open-source NLP projects: Demonstrated contributions to open-source projects in the NLP community.
  • Knowledge of large-scale data processing: Experience in processing large datasets efficiently using technologies like Hadoop or Spark.

Benefits

  • Health, dental, and life insurance
  • Generous leave policy
  • Flexible working environment
  • Employee training and continuous learning programs

Company Culture

  • Collaboration: We believe in teamwork and collaborative efforts to drive our projects forward.
  • Continuous Improvement: A culture focused on continuous learning and improvement at all levels.
  • Diversity and Inclusion: We prioritize a diverse workplace where all employees feel included and valued.
Status: Closed