Senior Software Engineer (ML Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (ML Infrastructure): Building a reliable and scalable training framework for autonomous vehicle modeling with an accent on developer experience and model optimization. Focus on designing end-to-end ML pipelines, optimizing large-scale data processing, and ensuring seamless model deployment.
Location: Pittsburgh, PA or Remote. Must be a U.S. person or meet U.S. national security and export control requirements (residency/citizenship verification required).
Company
develops AI and advanced autonomous systems designed to enhance safety and efficiency in the trucking transportation industry.
What you will do
- Develop a scalable and reliable ML training framework to support modeling needs.
- Enhance the developer experience for ML engineers by building tools for testing, validation, and data analysis.
- Drive model optimization and deployment strategies.
- Collaborate with multiple modeling teams to align on architectural design tradeoffs.
- Implement and maintain large-scale data processing pipelines.
Requirements
- Experience with ML Platforms and building ML-based applications.
- Proven track record of building scalable, reliable infrastructure in fast-paced environments.
- Deep understanding of design tradeoffs and ability to reach technical alignment.
- Experience with model training, optimization, or large data processing.
- Compliance with U.S. national security laws and export control regulations is mandatory.
Nice to have
- Prior experience in autonomous vehicles, perception, or decision-making domains.
- Experience building end-to-end ML pipelines (logs processing, feature extraction, storage, and serving).
- Experience shipping large-scale ML products such as NLP or Computer Vision systems.
Culture & Benefits
- Culture of inclusion, entrepreneurship, and innovation.
- Equal opportunity workplace committed to diversity.
- Opportunity to work on cutting-edge AI and robotics for real-world demanding environments.
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