Jobs · Administrative · California

Executive Assistant to the CEO

Machina Labs · Chatsworth, California, United States · 2 wk ago
On-siteAdministrativeFull-time

MachinaLabs provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

About the role

The role involves developing innovative machine learning solutions for complex data problems. It requires strong analytical skills, proficiency in Python/R, and experience with cloud platforms like AWS/GCP.

Responsibilities

  • Develop and maintain machine learning models
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
  • Perform data analysis and feature engineering
  • Optimize model performance through hyperparameter tuning and experimentation
  • Document code and results for reproducibility and future reference

Requirements

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
  • At least 2 years of professional experience in machine learning or related fields
  • Strong programming skills in Python/R
  • Experience with cloud platforms (AWS/GCP)
  • Excellent problem-solving and analytical skills

Qualifications

  • Experience with deep learning frameworks (TensorFlow/Keras)
  • Knowledge of statistical methods and machine learning algorithms
  • Experience with data preprocessing and model evaluation techniques
  • Good understanding of cloud infrastructure and security best practices

Skills

  • Python/R programming
  • Cloud platforms (AWS/GCP)
  • Deep learning frameworks (TensorFlow/Keras)
  • Statistical methods and machine learning algorithms
  • Data preprocessing and model evaluation techniques
  • Cloud infrastructure and security best practices

Benefits

  • Flexible work schedule
  • Competitive salary
  • Professional development opportunities
  • Health insurance
  • Retirement plans

Pay

Salary range: $80,000 - $120,000 annually

Schedule

Full-time position, Monday to Friday, 9 AM to 5 PM

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