Senior ML Engineer: Autonomous Tracking & Fusion (Remote)

Ladders; United States; Remote; USD 177,000 - 213,000; Full time

Benefits offered by this job

Premium medical/dental/vision

401K with 6% match

Flexible schedule & generous vacation

AD&D & Life Insurance

Job summary

Ladders is seeking a Senior ML Engineer - Tracking to enable autonomous vehicle perception, tracking, and sensor fusion. You will design, train, and deploy ML models for multi-object tracking, and build scalable data pipelines and production software in Python/C++.

You will collaborate with cross‑functional teams to validate performance, refine algorithms, and ensure safety. Remote work is available for US‑based candidates, with competitive compensation and comprehensive benefits.

Qualifications

• Requires a strong background in autonomous vehicle perception or robotics.
• Experience deploying ML models for perception, localization, or sensor fusion.
• Proficient in PyTorch and software engineering best practices.

Responsibilities

• Design, develop, and deploy ML models for multi-object tracking and sensor fusion.
• Build scalable training/evaluation workflows using PyTorch.
• Improve tracking algorithms for vehicle pose and kinematics.
• Analyze data to identify issues and drive improvements.
• Develop production-grade software in C++ and Python.
• Lead design reviews and mentor teammates.

Skills

ML model development

Software engineering

Leadership

Cross-functional collaboration

Education

Bachelor's degree in CS/EE/Robotics

Master's degree in related field

PhD in related field

Tools

PyTorch

Python

C++

Job description

Ladders is seeking a Senior ML Engineer - Tracking to enable autonomous vehicle perception, tracking, and sensor fusion. You will design, train, and deploy ML models for multi-object tracking, and build scalable data pipelines and production software in Python/C++.

You will collaborate with cross‑functional teams to validate performance, refine algorithms, and ensure safety. Remote work is available for US‑based candidates, with competitive compensation and comprehensive benefits.