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Apple Multimodal Generative Modeling Research Engineer Switzerland, Zurich, Zurich 631728109
04.04.2024
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Key Qualifications
- Hands on experience training LLMs
- Experience adapting pre-trained LLMs for downstream tasks & human alignment
- Modeling experience at the intersection of NLP and vision
- Familiarity with distributed training
- Proficiency in ML toolkit of choice, e.g., PyTorch
- Strong programming skills in Python, C and C++
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, 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. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
Education & Experience
M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.
Additional Requirements
- 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
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