Machine Learning Engineer, Data Mining

About the role

This position focuses on extracting valuable insights from large datasets to enhance our autonomous driving systems. You will apply data mining techniques to improve the performance and reliability of our machine learning models.

Key facts

What you'll do

• Develop and implement data mining algorithms to identify patterns and anomalies in driving data.
• Build and maintain data pipelines for processing and analyzing sensor and vehicle logs.
• Collaborate with the machine learning team to integrate data mining findings into model development.
• Evaluate the effectiveness of data mining strategies and propose improvements.

Requirements

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 2 to 4 years of professional experience in data mining or machine learning.
• Proficiency in Python and SQL.
• Experience with data analysis libraries such as Pandas and NumPy.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.

Nice to have

• Master's or Ph.D. in a relevant field.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of distributed computing frameworks like Spark.

Skills & tools

• Python
• SQL
• Pandas
• NumPy
• TensorFlow
• PyTorch

Practical notes

• Motional is an EEO employer.
• Visa sponsorship is not available for this role.