Machine Learning Research Engineer
A company is looking for a Machine Learning Research Engineer - AI Foundation Models for Design.
Key Responsibilities
Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
Required Qualifications
BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience with distributed systems for machine learning and deep learning at scale
Strong knowledge of ML infrastructure and model parallelism techniques, including frameworks like PyTorch and DeepSpeed
Experience with cloud services and architectures (AWS, Azure, etc.)
Familiarity with version control, CI/CD, and deployment pipelines
A company is looking for a Machine Learning Research Engineer - AI Foundation Models for Design.
Key Responsibilities
Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
Required Qualifications
BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience with distributed systems for machine learning and deep learning at scale
Strong knowledge of ML infrastructure and model parallelism techniques, including frameworks like PyTorch and DeepSpeed
Experience with cloud services and architectures (AWS, Azure, etc.)
Familiarity with version control, CI/CD, and deployment pipelines