Senior Machine Learning Engineer, Prediction - Autonomous Driving

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

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

This role focuses on building advanced machine learning solutions for prediction within autonomous driving systems, with an emphasis on model performance, robustness, and real-world deployability. You will partner closely with data collection, labeling, simulation, and engineering teams to develop generalizable approaches across diverse operating environments. The work will directly support safety-critical, low-latency, and scalable software solutions for autonomous driving applications.

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

Compensation: $224,000 – $356,500 annually

Responsibilities

• Design end-to-end solutions for prediction modules using advanced ML techniques
• Conduct applied research and develop innovative deep learning models
• Create generalizable approaches for diverse operational design domains (ODDs)
• Drive data-driven development by collaborating with data collection and labeling teams
• Leverage data simulation and augmentation for extreme scenario solutions
• Productize solutions to meet safety, latency, and software robustness requirements

Qualifications

• PhD with 6+ years, MS with 10+ years, or BS with 12+ years in Computer Science, Computer Engineering, or a related field
• Hands‑on experience developing deep learning algorithms for real‑world problems
• Proficiency in deep learning frameworks such as PyTorch
• Strong programming skills in Python and/or C++
• Excellent communication and teamwork abilities

Benefits

• Equity participation
• Opportunity to work on cutting-edge autonomous driving technology
• Collaborative and innovative team environment

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.