As a machine learning engineer at Siri you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users.
Solid understanding of state-of-the-art technology in machine learning deep learning (including LLMs) and natural language understanding.
Excellent problem-solving (e.g. via building forward-looking prototype systems) critical thinking strong communication and collaboration skills
Ph.D. or M.S. degree in related fields
3-5 years proven programming skills using standard ML tools such as C/C Python PyTorch Tensorflow Hugging Face etc.
Hands-on experience working (training fine-tuning optimizing deploying) with large models (e.g. LLMs).
Hands-on experience applying common machine learning optimization techniques like quantization and distillation to reduce the resource consumption and/or eliminate latency
Publication at top ML/DL/NLP conferences such as NeurIPS ACL EMNLP etc. is a plus.
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