About The Position
The Senior Machine Learning Engineer will join the AI/ML Translation & Multilingual Intelligence team, which develops language technologies and automation for translation and multilingual intelligence. The role focuses on building highly scalable, robust, and efficient model automation pipelines. The engineer will work with large quantities of data, apply state-of-the-art deep learning methods to real-world problems, create production-quality models at scale, and establish machine learning CI/CD pipelines.
Requirements
- At least 3 years of work experience in the ML lifecycle, model management, data processing, large distributed systems, and cloud computing, using technologies such as Spark, Ray, or 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.
Nice To Haves
- Hands-on machine learning experience with model fine-tuning, evaluation, experiment tracking, pipeline building, and deployment.
- Experience with large language models or neural machine translation.
- Deep knowledge of machine learning frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures.
Responsibilities
- Develop scalable, robust, and efficient model automation pipelines.
- Work with large quantities of data and apply deep learning methods to real-world problems.
- Create production-quality models at scale.
- Set up machine learning CI/CD pipelines.
- Contribute to language technology development activities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
