Applied Machine Learning Scientist - Visual Generation
Applied Machine Learning Scientist - Visual Generation
Posted on :
07-08-2025
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1 Vacancy
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Job Description
As an Applied ML Scientist on our team you will:- Design and develop pioneering generative models for visual content such as image video and 3D. - Stay at the forefront of artificial intelligence and machine learning advancements. Continuously exploring and evaluating new technologies and methodologies to enhance the technical capabilities of our team.- Push boundaries by rapidly prototyping ideas testing hypotheses and exploring novel approaches to visual generation challenges including exploring new architectures ranging from diffusion auto-regressive multi-modal generation and/or hybrid approaches.- Partner with world-class researchers engineers and designers to transform prototypes into robust production-ready features that will delight users while maintaining Apples standards for quality and privacy.- Explore distillation and optimization techniques that will enable the models to run efficiently while maintaining quality.- Present your work directly to executive leadership and shape the roadmap for how AI will transform creative tools across Apples ecosystem.
- M.S. in Computer Science Machine Learning Computer vision or related field.
- Solid understanding and experience with recent visual generative AI models such as multi-modal LLMs and diffusion-based large vision models.
- Proficiency in Python and experience in using ML toolkits e.g. PyTorch JAX etc.
- Knowledge of and proficiency with ML-based product lifecycle and methods for model training statistical analysis and data science.
- 5 years of industry or academic experience in CVML and an advanced degree (./Ph.D.) in CS CVML or similar field.
- Hands-on experience with building training from scratch and scaling innovative visual generation models such as large image/video diffusion models multi-modal LLMs contrastive learning models or other visual foundation models.
- Strong software engineering skills to build scalable and robust infrastructure for deep learning data modeling and evaluation systems.
- Comfort with researching current ML literature and math including optimization methods and modeling techniques.
- Proven track record in research innovation and/or delivering ML products demonstrated through publications in top-tier journals or conferences patents or impactful software developments.
- Strong collaboration skills in a multi-functional setting and ability to leverage partnerships to drive outcomes and deliver impact at scale.
Employment Type
Full Time
Key Skills
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