AIML - Machine Learning Engineering, Machine Learning Platform and Infrastructure

Key Skills

Azure, AWS, Aartificial intelligence, Machine learning techniques, Writing, Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, Docker, Kubernetes-K8s, Large Language Models - LLMs

Job Description

Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.

• Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures.

• Build tools to understand bottlenecks in Inference for different hardwares and use cases.

• Mentor and guide engineers in the organization.

Minimum Qualifications

• 8+ years of experience leading and driving complex, ambiguous projects.
• Strong industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
• Rich experience with high throughput services particularly at supercomputing scale.
• Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
• Proficient in building and maintaining systems written in modern languages (eg: Golang, python)

Preferred Qualifications

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
• Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
• Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.