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Apple AIML - Generative Foundation Model/LLM Research Scientist MLR United States, Washington, Seattle 251403803
30.05.2024
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible.You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Key Qualifications
- Demonstrated expertise in machine learning research.
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
- Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch.
- Strong mathematical skills in linear algebra and statistics.
- In-depth understanding of modern machine learning techniques.
- Ability to formulate a research problem, design, experiment, implement and communicate solutions.
- Ability to work in a diverse collaborative environment.
Education & Experience
PhD, or equivalent practical experience, in Computer Science, or related technical field.
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 $131,500 and $243,300, 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.
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.
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