[Remote] Research Engineer (Machine Learning)

Note:The job is a remote job and is open to candidates in USA. Aldea is a multi-modal foundational AI company focused on advancing the scaling laws of intelligence. The Research Engineer (Machine Learning) will build and optimize the infrastructure for multi-modal AI research, enabling the team to experiment with next-generation architectures 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. Skills• 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. • Experience with custom kernel development (CUDA, Triton) or GPU optimization. • Hands-on experience with large-scale pretraining (100B+ tokens, ideally trillion+ scale). • Experience optimizing inference for production: quantization, vLLM, TensorRT, or custom serving engines. • Familiarity with speech/audio ML systems and real-time inference constraints.• Experience building automated evaluation frameworks and experiment tracking systems. • Knowledge of profiling tools and multi-node training across 8-32+ GPUs. • Exposure to job orchestration systems (SLURM, Kubernetes, Ray). • Master's or PhD in Computer Science, Machine Learning, or related field. Benefits• Competitive base salary• Performance-based bonus aligned with research and model milestones• Equity participation• Comprehensive health, dental, and vision coverage• Flexible paid time offCompany Overview• Aldea is a foundational AI company building next-generation voice and language models that power how people and software communicate.It was founded in undefined, and is headquartered in Miami, FL, US, with a workforce of 11-50 employees. Its website is Apply tot his job