As a member of our fast-paced group youll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models.
- 10 years of work experience in machine learning deep learning or related field
- Experience in modeling user behavior including personalization online learning and recommendation systems
- Experience working with machine learning or LLM model development for various NLP tasks and RAG applications including prompt engineering training data collection and generation model fine-tuning and model evaluation
- Experience working with Python and at least one of the deep learning frameworks such as TensorFlow PyTorch or JAX
- PhD in Computer Science Artificial Intelligence Machine Learning or a related field.
- At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling Preference-based fine-tuning techniques (e.g RLHF Reward model DPO PPO GRPO etc.) Parameter efficient fine-tuning techniques (e.g LoRA) Hallucination reduction and factual accuracy improvements Designing and implementing safety guardrails
- At least 10 years of experience leading complex cross-functional projects and influencing research direction
- At least 10 years of experience with large-scale model training optimization and deployment
- Consistent track record of researching inventing and/or shipping advanced machine learning models
- Outstanding communication and interpersonal skills with ability to work with cross-functional teams
Required Experience:
Staff IC
As a member of our fast-paced group youll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tun...
As a member of our fast-paced group youll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models.
- 10 years of work experience in machine learning deep learning or related field
- Experience in modeling user behavior including personalization online learning and recommendation systems
- Experience working with machine learning or LLM model development for various NLP tasks and RAG applications including prompt engineering training data collection and generation model fine-tuning and model evaluation
- Experience working with Python and at least one of the deep learning frameworks such as TensorFlow PyTorch or JAX
- PhD in Computer Science Artificial Intelligence Machine Learning or a related field.
- At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling Preference-based fine-tuning techniques (e.g RLHF Reward model DPO PPO GRPO etc.) Parameter efficient fine-tuning techniques (e.g LoRA) Hallucination reduction and factual accuracy improvements Designing and implementing safety guardrails
- At least 10 years of experience leading complex cross-functional projects and influencing research direction
- At least 10 years of experience with large-scale model training optimization and deployment
- Consistent track record of researching inventing and/or shipping advanced machine learning models
- Outstanding communication and interpersonal skills with ability to work with cross-functional teams
Required Experience:
Staff IC
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