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Ml Data Scientist jobs at Apple in China, Hong Kong Island
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China
Hong Kong Island
1 jobs found
13.04.2025
A
Apple ML Data Scientist China, Hong Kong, Hong Kong Island
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Bachelor's/Master's/PhD degree in a relevant field such as Computer Science, Data Science, Artificial Intelligence, or related disciplines. Open to both recent graduates and professionals with industry experience. Solid mathematical background...
Description:
In this role, you will analyze model performance, identify weaknesses, and improve robustness, efficiency, and realism in generated 3D assets. You will work closely with researchers, engineers, and product teams to ensure high-quality outputs in areas such as 3D reconstruction, generative modeling, and rendering.
- Bachelor's/Master's/PhD degree in a relevant field such as Computer Science, Data Science, Artificial Intelligence, or related disciplines.
- Open to both recent graduates and professionals with industry experience.
- Solid mathematical background in linear algebra, optimization, and statistical analysis.
- Proficiency in Python and ML libraries (NumPy, Pandas, Matplotlib, Seaborn).
- Experience with ML frameworks and tools: TensorFlow, PyTorch, Scikit-Learn,
- Experience with cloud platforms (AWS, GCP, Azure) for training and deploying large-scale model.
- Knowledge of generative models (GANs, VAEs, Score-Based Models) and 3D reconstruction techniques.
- Excellent verbal and written communication abilities to collaborate across technical and non-technical teams.
- Strong understanding of 3D deep learning techniques, including NeRF, PointNet, MeshCNN, and Diffusion Models.
- Hands-on experience with 3D data processing and rendering frameworks (e.g., Blender API, Unreal Engine, Three.js, Open3D, Kaolin, Minkowski Engine)
- Understanding of feed-forward reconstruction networks for 3D tasks
- Experience with real-time rendering and physics-based simulations.
- Knowledge of edge AI and efficient 3D model compression techniques
- Proven ability to design and optimize complex ML pipelines or AI-driven solutions.
Show more
These jobs might be a good fit
Bachelor's/Master's/PhD degree in a relevant field such as Computer Science, Data Science, Artificial Intelligence, or related disciplines. Open to both recent graduates and professionals with industry experience. Solid mathematical background...
Description:
In this role, you will analyze model performance, identify weaknesses, and improve robustness, efficiency, and realism in generated 3D assets. You will work closely with researchers, engineers, and product teams to ensure high-quality outputs in areas such as 3D reconstruction, generative modeling, and rendering.
- Bachelor's/Master's/PhD degree in a relevant field such as Computer Science, Data Science, Artificial Intelligence, or related disciplines.
- Open to both recent graduates and professionals with industry experience.
- Solid mathematical background in linear algebra, optimization, and statistical analysis.
- Proficiency in Python and ML libraries (NumPy, Pandas, Matplotlib, Seaborn).
- Experience with ML frameworks and tools: TensorFlow, PyTorch, Scikit-Learn,
- Experience with cloud platforms (AWS, GCP, Azure) for training and deploying large-scale model.
- Knowledge of generative models (GANs, VAEs, Score-Based Models) and 3D reconstruction techniques.
- Excellent verbal and written communication abilities to collaborate across technical and non-technical teams.
- Strong understanding of 3D deep learning techniques, including NeRF, PointNet, MeshCNN, and Diffusion Models.
- Hands-on experience with 3D data processing and rendering frameworks (e.g., Blender API, Unreal Engine, Three.js, Open3D, Kaolin, Minkowski Engine)
- Understanding of feed-forward reconstruction networks for 3D tasks
- Experience with real-time rendering and physics-based simulations.
- Knowledge of edge AI and efficient 3D model compression techniques
- Proven ability to design and optimize complex ML pipelines or AI-driven solutions.
Show more
These jobs might be a good fit
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