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Apple Natural Language Generative Modeling Research Engineer - SIML ISE United States, California, Cupertino 222189346
30.03.2024
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Key Qualifications
- 3 - 5+ years experience in Machine Learning and NLP fundamentals
- Hands on experience training LLMs
- Experience adapting pre-trained LLMs for downstream tasks & human alignment
- Familiarity with distributed training
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong programming skills in Python, C and C++
- You're aware of the challenges associated to the transition of a prototype into a final product
Description
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700.00 and $256,500.00, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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