CARIAD, Inc. · 10 hours ago
Engineer III, Machine Learning
Mountain View, CA
Full-time
Onsite
Senior Level
$136K/yr - $198K/yr
5+ years expCARIAD is an automotive software development team within the Volkswagen Group focused on enhancing the automotive experience. The Engineer III, Machine Learning will contribute to the development of driving models for the ADAS system, applying modern machine learning techniques and collaborating with cross-functional teams to ensure model robustness and performance.
AutomotiveInformation TechnologySoftware
No H1B
U.S. Citizen Only
Responsibilities
Support research and evaluation of single-stage, end-to-end ADAS model approaches and architectures
Design and train end-to-end machine learning models for the ADAS stack under guidance from more experienced engineers
Assist in developing training workflows and pipelines in collaboration with data engineering and MLOps teams
Train models using reinforcement learning approaches within simulation or world-model environments and reinforcement learning frameworks
Work with real and synthetic multi-modal sensor data (camera, radar, lidar) to support model development and experimentation
Analyze model behavior and performance across diverse driving scenarios
Evaluate and benchmark models against real-world driving use cases using established evaluation pipelines
Support embedded engineering teams during model integration, optimization, and deployment on embedded hardware
Collaborate with cross-functional teams to support ADAS machine learning initiatives
Continue to develop technical skills and domain expertise through hands-on project work, code reviews, and knowledge sharing
Qualification
Required
5+ years of experience in applied machine learning or deep learning, with experience working in AD/ADAS systems, reinforcement learning, or computer vision
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
Hands-on experience with deep learning techniques, including CNNs, transformers, spatio-temporal models, and modern foundation models
Experience working with machine learning frameworks such as PyTorch (or equivalent)
Computer vision experience applying modern deep learning techniques such as CNNs, DETR, and vision transformers
Hands-on experience training reinforcement learning agents using simulation environments
Familiarity with state-of-the-art machine learning concepts used in AD/ADAS systems, including end-to-end driving models, world models, and vision-language-action models
Working knowledge of core machine learning principles and model development workflows
Strong software engineering skills, including the ability to write clean, maintainable, and testable code
Strong analytical and debugging skills applied to machine learning and data-driven systems
Ability to work on moderately complex technical problems with guidance from more experienced engineers
Clear written and verbal communication skills for collaborating with cross-functional partners
Preferred
Familiarity with deep learning model optimization techniques such as quantization, pruning, and hardware-aware optimization
Familiarity with inference frameworks such as TensorRT and ONNX Runtime
Experience with simulation frameworks used in ADAS development
Exposure to multi-modal machine learning models, including camera and radar fusion
Basic understanding of automotive safety considerations related to machine learning systems
Master's degree in a related technical field
Benefits
Medical
Dental
Vision
401k with employer match and defined contribution plan
Short and long term disability
Basic life and AD&D insurance
Employee assistance program
Tuition reimbursement and student loan repayment plans
Maternity and non-primary caregiver leave
Adoption assistance
Employee referral program
Vacation and paid holidays
Unique vehicle lease program that covers registration and insurance fees
Company
CARIAD, Inc.
For generations, Volkswagen AG has included a collection of legendary brands.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Scott Runner
Chief Executive Officer
Julian Christopher Zeug
Director IT Security, Chief Information Security Officer
Recent News
2026-01-07
2026-01-05
2025-11-28
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