Senior/Staff Machine Learning Engineer, Perception
3 weeks ago
We are seeking a highly skilled Machine Learning Engineer to join our Perception team at Woven by Toyota. Our mission is to deliver safe, intelligent, human-centered mobility for all.
As a Machine Learning Engineer in the Perception team, you will be responsible for designing and developing new Machine Learning models for our online perception system and deploying the model on our next-generation autonomous vehicle platform.
Key responsibilities include:
- Prototyping, validating, and iterating on existing and new model architectures
- Developing new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance
- Leading large, multi-person projects and significantly influencing the overall Perception architecture and technical direction
- Enabling and helping other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews, and delivering rigorous reports from ML experiments
Requirements include:
- MS or higher degree in CS/CE/EE or equivalent in industry experience
- 5+ years of experience with ML frameworks such as PyTorch, Caffe, TensorFlow
- Extensive experience with machine learning and classification
- 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
- Strong programming skills in Python or C++
- Passionate about self-driving car technology and its potential for humanity
- Experience in writing production-level code in a real-time operating system
- Strong communication skills and ability to communicate concepts clearly and precisely
We offer a comprehensive benefits package, including excellent health, wellness, dental, and vision coverage, a rewarding 401(k) program, flexible vacation policy, and family planning and care benefits.
We are an equal opportunity employer and value diversity. Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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