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Ladders
Ladders

Senior Machine Learning Engineer - Localization

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Software Development
C++
Python
+16

Visa

U.S. visa required

Permanent role
4 days ago
Apply now

For our client, we are seeking a Senior Machine Learning Engineer - Localization to join the team of a leader in the Manufacturing & Automotive space.

This role will focus on advancing machine learning systems that support localization, ego-motion estimation, and sensor fusion for autonomous vehicle applications. You will work across data, model development, and production software to improve performance, robustness, and validation in real-world driving conditions. The position also partners closely with cross-functional engineering teams to bring high-performing localization capabilities into production.

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

Compensation: $177,300 – $212,800 annually

Responsibilities

  • Design and deploy ML models for ego-motion estimation and localization
  • Develop scalable training workflows using PyTorch and real-world datasets
  • Improve state estimation and sensor fusion algorithms for vehicle dynamics
  • Analyze vehicle data to drive model and system enhancements
  • Develop production software in C++ and Python across the development lifecycle
  • Define validation strategies for localization under diverse conditions
  • Make technical decisions balancing performance and production needs
  • Collaborate across teams to integrate autonomous driving capabilities

Qualifications

  • Bachelor's in CS, Software Engineering, Robotics, or related field with 6+ years of experience, Master's with 3+ years, or PhD with 1+ year
  • Experience with AV or robotics localization systems, including LiDAR, visual odometry, and SLAM
  • Strong experience developing and deploying ML models for perception and sensor fusion
  • Proficient in PyTorch and ML tooling for training and optimization
  • Solid understanding of 3D geometry and probabilistic estimation principles
  • Experience with large multimodal datasets and scalable processing pipelines
  • Strong fundamentals in Python and C++, with emphasis on algorithms and performance optimization

Benefits

  • 100% covered medical, dental, and vision premiums for full-time employees
  • 401K plan with 6% employer match
  • Flexible scheduling and immediate paid vacation
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

About Ladders

👥201-500
📍New York
🔗Website
Visit company profileIconOpenNewWindows

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