Machine Learning Engineer

Work within our clients machine learning team to deploy and optimize models for applications like low-latency speech recognition and large language models (LLMs). Initial focus will be on improving our clients speech recognition model's training pipeline on multi-GPU systems to boost performance and quality.

• Train and deploy state-of-the-art ML models.


• Apply optimization techniques (distillation, pruning, quantization).


• Enhance speech models with features such as diarization, multilingual support, and keyword boosting.


• Optimize models for low-latency inference on accelerators.


• Improve training workflows and GPU utilization.


• Use data augmentation to improve performance.


• Stay updated on ML research to guide strategy.

• Master's or PhD in a relevant field with strong ML foundations.


• Training ML models for production use.


• PyTorch or TensorFlow.


• Handling large datasets (multi-terabyte).


• Familiarity with Linux, version control, and CI/CD systems.


• Knowledge of model compression (e.g., reduced precision).