Leading product innovation and development at Quala Mexico. Transforming ideas into successful market products with a focus on continuous improvement.
About the role
- Research Engineer developing infrastructure for Aldea's multi-modal AI research team. Building systems that support rapid experimentation at billion-parameter scale in language and speech domains.
Responsibilities
- Build and maintain distributed training infrastructure supporting researchers across language and speech domains at a billion-plus-parameter scale.
- Optimize training and inference performance across the stack, delivering significant speedups through framework optimization, custom kernels, and system-level improvements.
- Design experiment infrastructure including automated evaluation pipelines, experiment tracking, and monitoring systems that enable rapid iteration.
- Scale infrastructure from single-node to multi-node distributed training and deploy production inference systems for real-time applications.
- Support researchers with fast turnaround on infrastructure issues and maintain high reliability across all systems.
- Collaborate with research scientists, data engineers, and leadership to define technical priorities and infrastructure roadmap.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- 3+ years of experience with PyTorch and distributed training frameworks (DDP, FSDP, DeepSpeed, or similar).
- Experience training large-scale deep learning models at 1B+ parameters.
- Deep understanding of training optimization techniques including mixed precision, gradient checkpointing, and memory management.
- Proven ability to build production-grade ML infrastructure with high reliability.
- Track record of delivering significant performance optimizations in ML training or inference systems.
Benefits
- Competitive base salary
- Performance-based bonus aligned with research and model milestones
- Equity participation
- Comprehensive health, dental, and vision coverage
- Flexible paid time off
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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