Senior Machine Learning Engineer - Automation for Translation and Multilingual Intelligence
Apple16 hours ago
Responsibilities
- Develop scalable, robust, and efficient model automation pipelines.
- Work with large quantities of data and distributed systems for machine learning workflows.
- Apply deep learning methods to real-world language technology problems.
- Create and deploy production-quality machine learning models at scale.
- Build and maintain ML CI/CD pipelines.
- Contribute to model fine-tuning, evaluation, experiment tracking, pipeline building, and deployment.
- Support translation and multilingual intelligence technologies, including language-related development activities.
Requirements
- At least 3 years of experience with the ML lifecycle, model management, data processing, large distributed systems, and cloud computing.
- Proficient Python coding skills.
- Experience with ML infrastructure tools such as vLLM, SGLang, TRT-llm, Slime, or Megatron-LM.
- Strong machine learning expertise and hands-on experience with model fine-tuning, evaluation, experiment tracking, pipeline building, and deployment preferred.
- Experience with LLMs and neural machine translation preferred.
- Deep knowledge of NLP, machine translation, ASR, PyTorch, TensorFlow, JAX, and transformer architectures preferred.
- Excellent communication and problem-solving skills.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.