Machine Learning Researcher
Munich, Bavaria, Germany · À temps plein
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- Expérience
- N'importe lequel
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 3 heures
- Mode de travail
- Au bureau
- Éducation
- Bachelors or higher in Computer Science/Electrical Engineering or equivalent
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
Overview
We are looking for talented research scientists and engineers to pioneer advancements in machine learning, computer vision, computer graphics, and related fields. Our focus areas include image and video synthesis, 3D reconstruction, and neural rendering. Collaborate with a leading team of world-class researchers and engineers to develop groundbreaking technologies that impact the Apple ecosystem and contribute to top-tier scientific publications.
About the Team
This group comprises highly skilled research professionals passionate about creating extraordinary technologies that bring delight to millions. Team culture emphasizes dedication to mission-driven work, valuing teamwork and constructive feedback, and cultivating lean practices to enhance focus and decision-making.
Minimum Qualifications
- Proven publication record in top conferences such as CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, SIGGRAPH, among others.
- Demonstrated experience developing full prototypes achieving state-of-the-art results in relevant domains.
- Proficiency across all layers of machine learning research, from low-level system coding to high-level algorithm design.
- Strong software engineering skills in complex systems with fluency in Python.
- Expert understanding of ML algorithms and best practices in deep learning frameworks.
- Experience with machine learning modeling tools such as PyTorch and Jax.
- Robust software development discipline delivering clean, well-tested code.
Preferred Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent field.
- Background in 3D reconstruction, neural rendering, view synthesis, and image/video synthesis research.
Inclusion and Accessibility
Apple values diversity and inclusion and is committed to equal opportunity for all applicants. We ensure reasonable accommodations are available and foster an environment where everyone is welcome. Accessibility is core to our culture and tools, supporting your sense of belonging and career growth.
Additional Information
Role Number: 200669282-1731