Senior ML Engineer, Perception for Autonomous Driving Remote

Ladders; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity opportunities

Comprehensive benefits package

Job summary

Ladders is seeking a Senior Machine Learning Engineer, Perception - Autonomous Driving, to advance perception capabilities for autonomous driving using ML, multi-sensor fusion, and scalable model development. This remote US-based role involves productizing models for vehicle autonomy while ensuring efficiency in large-scale systems.

Required: 8+ years in ML, strong C++/Python, LiDAR/camera perception and fusion, and experience with PyTorch or TensorFlow; MS/PhD preferred.

Qualifications

• MS or PhD in Computer Science, Engineering, or a related field or equivalent experience

Responsibilities

• Design, train, and optimize ML models for LiDAR/camera perception and fusion.
• Develop end-to-end ML workflows, including data pipelines and model training.
• Productize ML models for autonomous driving platform with efficient C++ code.
• Incorporate latest ML techniques to boost platform performance.
• Collaborate with cross-functional teams to deliver reliable autonomy solutions.

Skills

C++ programming

Python programming

LiDAR perception

Multi-sensor fusion

Deep learning

Communication skills

Education

MS or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Ladders is seeking a Senior Machine Learning Engineer, Perception - Autonomous Driving, to advance perception capabilities for autonomous driving using ML, multi-sensor fusion, and scalable model development. This remote US-based role involves productizing models for vehicle autonomy while ensuring efficiency in large-scale systems.

Required: 8+ years in ML, strong C++/Python, LiDAR/camera perception and fusion, and experience with PyTorch or TensorFlow; MS/PhD preferred.