About Apple
Apple · Cupertino
Senior Visual Generative Modeling Research Engineer (Apple Intelligence), SIML - ISE
(w/m/d) · 17.1.2025
Description
We are looking for a candidate with a consistent track record in applied ML research. Responsibilities in the role will include training large scale conditional generative models in the visual domain on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning adaptive policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the field, 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 associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.
Your Primary Responsibilities Will Include:
- Designing, implementing, and deploying state-of-the-art conditional visual generative models.
- Directly interacting with all multi-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
- Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.
- Staying abreast with the latest trends, technologies, and best practices in machine learning, visual generative models, multi-modal foundation models, computer vision and natural language understanding.
- Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.
Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
- Hands on experience training larges scale visual generative models (e.g. diffusion models) and/or adapting pre-trained models for downstream tasks.
- Strong programing skills in Python and C++.
- Proficiency in toolkits like Pytorch or equivalent deep learning frameworks.
Preferred Qualifications
- Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience.
- Experience in addressing challenges associated with the transition of a prototype into a shipping product.
- Familiarity with challenges of developing algorithms that run efficiently on resource constrained platforms.
- Proven leadership in both applied research and development.
- Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams.
Benefits
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