About this role
Research Engineer Graduate (Seed Model - AI Foundation Model Infrastructure) - 2027 Start (PhD)
Location
Seattle
Team: Technology
Employment Type: Regular
Job Code: A224405
Responsibilities
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About the team
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The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
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Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
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Optimize distributed training systems across compute, memory, and communication.
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Improve system reliability, efficiency, and observability for large-scale workloads.
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Develop frameworks for evaluation, data processing, and model lifecycle management.
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Co-design systems and algorithms to improve performance of foundation models.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
- Experience in distributed systems, large-scale training infrastructure, or ML systems.
- Familiarity with deep learning frameworks and system optimization.
Preferred Qualifications:
- Strong problem-solving and engineering skills.
- Strong communication and collaboration skills.