Remote Senior ML Engineer — Autonomous Driving Prediction

Ladders; United States; Remote; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity participation

Work on autonomous driving tech

Collaborative team environment

Job summary

Ladders seeks a Senior Machine Learning Engineer, Prediction for Autonomous Driving. This remote US-based role focuses on advanced ML solutions for prediction in autonomous driving, emphasizing performance, robustness, and deployability.

You'll collaborate with data collection, labeling, and simulation teams to build generalizable models across diverse environments, supporting safe, low-latency software.

Qualifications

• PhD/MS/BS with substantial research or industry experience in ML
• Hands-on experience building deep learning solutions for real-world problems
• Proficiency with PyTorch and Python/C++ programming

Responsibilities

• Design end-to-end prediction solutions for autonomous driving systems
• Conduct applied research and develop deep learning models
• Create generalized approaches for diverse operating domains (ODDs)
• Collaborate with data collection, labeling, and simulation teams
• Leverage data augmentation and simulation for extreme scenarios
• Productize ML solutions ensuring safety, low latency, and robustness

Skills

Deep learning

Python

C++

PyTorch

Teamwork

Education

PhD in CS/CE or related field

MS in CS/CE or related

BS in CS/CE or related

Job description

Ladders seeks a Senior Machine Learning Engineer, Prediction for Autonomous Driving. This remote US-based role focuses on advanced ML solutions for prediction in autonomous driving, emphasizing performance, robustness, and deployability.

You'll collaborate with data collection, labeling, and simulation teams to build generalizable models across diverse environments, supporting safe, low-latency software.