ML Research Engineer to Klang AI
Core
Train, fine-tune, and improve machine learning and generative AI models for speech and language technology products, building scalable systems that bring research into production.
Role type
ML Research Engineer
Builds
Scalable AI systems for speech recognition, text-to-speech, and audio AI products
Domain
Speech and language technology, Generative AI
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, machine learning, modern generative AI, open-ended technical problem solving
Preferred skills
Large-scale model training and fine-tuning, Transformer architectures, modern LLMs, dataset design and evaluation, distributed training, CUDA/Triton/GPU optimization, speech recognition, text-to-speech, audio AI, research publications, open-source contributions
Technologies
Python, CUDA, Triton, LLMs, Transformers
Responsibilities
Train and fine-tune ML models, design and evaluate algorithms and benchmarking frameworks, work with datasets and data quality, build scalable production systems, collaborate with R&D on technical decisions
Seniority
Individual Contributor