Senior Machine Learning Engineer
7 days ago
- PhD degree in computer science/engineering or related fields.
- Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
- Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
- Background in Generative AI research, including multi-modal LLMs.
- Background in AI safety research, including AI authenticity, accountability, and integrity of digital content.
- Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
- Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
- Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
- Strong collaborative skills, with experience working in cross-functional teams.
- Keen attention to detail and commitment to high-quality deliverables.
- Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
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