Senior Machine Learning Engineer, Automation for Translation and Multilingual Intelligence

What you'll do

• Develop automation pipelines and tools for training, evaluating, and deploying machine learning models.
• Implement and optimize ML pipelines for distributed data processing and inference throughput.
• Create production-quality models at scale using state-of-the-art deep learning methods.
• Set up and maintain ML CI/CD pipelines for translation and NLP tasks.
• Integrate machine learning models into production systems with software engineering and QE teams.
• Manage large quantities of data to solve real-world problems in multilingual intelligence.
• Perform model fine-tuning, experiment tracking, and deployment for large language models.

What we're looking for

• 3+ years of experience in ML lifecycle, model management, data processing, large distributed systems, and cloud computing.
• Proficiency in Spark, Ray, and Dask.
• Proficient coding skills in Python.
• Experience with ML infrastructure tools such as vLLM, SGLang, TRT-llm, Slime, or Megatron-LM.
• Excellent communication and problem-solving skills.
• Hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building, and deployment (preferred).
• Experience with LLMs and neural machine translation (preferred).
• Deep knowledge in ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures (preferred).