Description

You will design, implement, and optimize generative models for natural language processing, computer vision, and audio applications.

Responsibilities

• Design and optimize generative models using machine learning and deep learning techniques.
• Apply generative modeling to NLP, computer vision, and audio processing tasks.
• Analyze and interpret large datasets using statistical and machine learning methods.
• Communicate technical findings to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to identify new generative modeling opportunities.

Required Skills

• Master's or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Strong background in machine learning and deep learning techniques.
• Experience implementing, training, fine-tuning, or optimizing foundation models or generative models.
• Understanding of key concepts in foundation models literature.
• Proficiency in Python or R.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with LLM, Diffusion models, GANs, or VAEs.
• Experience with distributed computing frameworks like Hadoop or Spark.
• Experience with cloud computing platforms such as AWS or Azure.

Key Skills

Education

Any Graduate