Machine Learning Engineer, AI Innovator
5 days ago
We are seeking a talented Machine Learning Engineer to drive the development and productionization of cutting-edge neural networks for autonomous driving. In this role, you will collaborate closely with our Production and Research teams to develop, test, scale, and deploy efficient large-scale machine learning systems.
Key Responsibilities:- Design and implement end-to-end deep learning models for autonomous driving
- Collaborate with cross-functional teams to develop, test, and deploy machine learning features in production environments
- Develop and maintain large-scale data pipelines and curation techniques
- Stay up-to-date with industry trends and advancements in machine learning and deep learning
The ideal candidate will have a strong background in deep learning, experience with large-scale machine learning systems, and a passion for efficiency, engineering excellence, and evaluation.
Requirements:
- 3+ years experience shipping AI and ML features in production environments
- Strong programming skills in Python, including experience with deep learning frameworks such as PyTorch, Numpy, Pandas
- Solid understanding of training, validation, and testing methodologies for deep learning models
- Experience in designing efficient large-scale machine learning systems, including data/model parallelism techniques, model optimization, and quantization
- Commitment to excellence in data engineering, with an appreciation for quality, curation, large-scale datasets, and scaling laws
Desirable Qualifications:
- MS or PhD in Computer Science or Engineering with specialism in Machine Learning, Robotics, Artificial Intelligence, Natural Language Processing, Computer Vision
- Record of publication at reputable conferences and journals
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