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Model Robustness Applied Researcher – Siml – Ise
| Company | Apple |
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| Location | Cupertino, CA, USA |
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| Salary | $143100 – $264200 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Masters, or Ph.D. in Computer Science, applied mathematics or comparable professional experience.
- Hands on experience training larges scale multimodal models and/or adapting pre-trained models for downstream tasks.
- Strong programing skills in Python, and proficiency in frameworks (ie TensorFlow, Pytorch) or equivalent deep learning frameworks.
- Strong background in machine learning and deep learning, with expertise in one of the sub-areas of adversarial robustness, responsible AI and/or model alignment.
Responsibilities
- Developing novel techniques for advancing responsible AI.
- Algorithm design and implementation.
- Ability to integrate research into production frameworks.
- Collaborating closely with product teams before and after feature launch.
Preferred Qualifications
- Strong background in research and innovation, demonstrated through publications in top-tier journals, conferences, patents, or impactful industry experience.
- Experience in transitioning prototypes into shipping products. Excellent written and verbal communication skills, comfortable presenting research to large audiences, and ability to work in multi-functional teams.
- Experience with adversarial attacks and defenses on Generative AI models, including robust training, secure sampling strategies, and detection of adversarially perturbed generations is a plus.
- Familiarity with red teaming methodologies to assess the robustness and security of Generative AI systems in adversarial and high-risk settings is a plus.
