Senior Machine Learning Engineer – End-to-End Autonomous Driving

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Artificiell intelligens · Datavetenskap

I korthet

We are looking for a motivated Senior Machine Learning Engineer to join our Autonomous Driving AI team. You will develop advanced deep learning systems that directly map sensor inputs to safe driving behavior, working at the intersection of ML, autonomous driving, and large-scale training infrastructure.

Ansvarsområden

Design, develop, and optimize state-of-the-art end-to-end autonomous driving models.
Build scalable machine learning pipelines for data processing, training, validation, and deployment.
Develop multimodal deep learning architectures leveraging vision, map, route, and vehicle context information.
Design and implement behavioral planning and trajectory generation models.
Develop goal-conditioned driving systems and controllable AI planning frameworks.
Create robust evaluation methodologies and metrics for measuring model quality, safety, and driving performance.
Develop simulation-based validation and closed-loop evaluation frameworks.
Investigate failure cases and long-tail scenarios to improve model robustness and generalization.
Design data augmentation, synthetic data generation, curriculum learning, and self-training approaches.
Collaborate closely with perception, planning, simulation, systems, and software engineering teams.
Drive innovation through new algorithms, technical leadership, publications, and patent generation.
Contribute to production deployment and optimization of machine learning models on automotive platforms.

Krav

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR PhD in Computer Science, Engineering, Information Systems, or related field.
Strong programming skills in: Python
PyTorch
C++ (preferred)
Deep understanding of: Deep Learning
Machine Learning
Neural Network Design
Computer Vision
Transformers
Representation Learning
Multimodal Learning
Experience training and evaluating large-scale deep learning models.
Experience building end-to-end ML workflows from data ingestion through deployment.
Strong software engineering fundamentals including code quality, version control, testing, and reproducible experimentation.
Experience in autonomous driving, ADAS, robotics, or embodied AI.
Experience with end-to-end planners and AI planning systems.
Experience with trajectory prediction, motion planning, or behavior modeling.
Experience with reinforcement learning, imitation learning, or self-supervised learning.
Experience building simulation and closed-loop evaluation frameworks.
Familiarity with ONNX, TensorRT, distributed training, and model optimization techniques.
Publications at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or CoRL.
Experience filing patents or developing novel machine learning technologies.

Önskade kvalifikationer

Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or a related field.
5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.

Förmåner

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play.