4 дня назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Developing online and offline perception and generative AI systems for L4 autonomous vehicles, with an accent on static-world perception, online mapping, sensor fusion, and safety-critical real-time software. Focus on architecting, training, and deploying deep learning models, improving map-generation algorithms, and driving applied research from experimentation through productization.
Location: Pittsburgh, Pennsylvania or remote within the United States. Employment may be subject to verification of residence, U.S. person status, and/or citizenship status due to national security and export control requirements.
Company
develops AI, robotics, machine learning, and cloud technologies for autonomous trucking systems.
What you will do
- Develop online and offline perception and generative AI algorithms for L4 self-driving vehicles.
- Build robust software for real-time, resource-constrained, safety-critical applications.
- Develop, maintain, and improve algorithms and systems for online map standards.
- Identify limitations in the online mapping system and drive improvements from problem definition through delivery.
- Align stakeholders through clear presentations and communication while executing team priorities.
Requirements
- Experience architecting, training, and deploying deep learning models, including transformers, diffusion, or flow models, in real-world environments.
- Experience driving applied research projects from conception and experimentation through publication or productization.
- Software engineering experience and expertise in machine learning algorithm design.
- Fluency in Python and experience with C++.
- Ability to satisfy applicable U.S. national security, residence, citizenship, and export control requirements.
Nice to have
- Experience with sensor fusion and/or online mapping.
Culture & Benefits
- Work on autonomous systems designed to improve safety, reliability, and operational efficiency.
- Collaborate across artificial intelligence, robotics, machine learning, and cloud technology disciplines.
- Work in an environment focused on innovation, entrepreneurship, inclusion, and diverse perspectives.
- Equal opportunity workplace with a commitment to inclusive teams.
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