Senior Machine Learning Engineer, Perception - Autonomous Driving

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

For our client, we are seeking a Senior Machine Learning Engineer, Perception - Autonomous Driving to join the team of a leader in the Telecommunications & Hardware space.

This role will focus on advancing perception capabilities for autonomous driving systems through machine learning, multi-sensor fusion, and scalable model development. The engineer will work closely with cross-functional partners to turn complex sensor data into reliable, high-performing solutions. A key part of the position will be productizing models and algorithms for a vehicle autonomy platform while maintaining efficiency in large, production-grade systems.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $184,000 – $356,500 annually

Responsibilities

• Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion.
• Develop and coordinate end-to-end ML workflows, including data pipelines and model training.
• Productize ML models and algorithms for an autonomous driving platform, writing efficient C++ code.
• Incorporate the latest machine learning techniques to enhance platform performance.
• Collaborate with cross-functional teams to create reliable solutions for autonomous driving.

Qualifications

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of industry experience applying machine learning to real-world problems.
• Strong C++ and Python programming skills, with experience in large, complex systems.
• Deep practical experience in LiDAR/camera perception and multi-sensor fusion in automotive or related fields.
• Experience with deep learning frameworks such as PyTorch or TensorFlow, and a solid understanding of ML mathematics.
• Proven ability to build and sustain training and metric workflows for large datasets.
• Excellent communication and analytical skills, with a self-motivated drive to solve complex problems.

Benefits

• Equity opportunities.
• Comprehensive benefits package.

Our client is an equal opportunity employer.