Senior Machine Learning Engineer, Fleet Monitoring & Response

Highlights

• Design and scale real-time fleet monitoring and response engine globally.
• Build spatial-temporal anomaly detection for off-nominal operations.
• Deploy multimodal foundation models to triage fleet events automatically.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

A backend-leaning ML engineer who thrives turning prototypes into reliable production systems and cares about safe, scalable autonomous operations at global scale.

Requirements

• BS degree in Computer Science or equivalent practical experience
• 6+ years of experience programming in backend coding languages such as Java or C++
• Experience in building backend platforms supporting multiple product use-cases/services
• Prior Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch or Keras