Description

You will design and implement scalable machine learning algorithms and generative models to meet specific business requirements.

This role is remote.

Responsibilities

• Research, design, and develop generative models for image, text, and audio synthesis.
• Implement and optimize deep learning architectures including GANs, VAEs, and Transformers.
• Experiment with loss functions, regularization techniques, and training strategies to improve sample quality and diversity.
• Evaluate and benchmark generative models using appropriate metrics and datasets.
• Collaborate with cross-functional teams to integrate models into production systems.

Required Skills

• 3+ years of proven experience in machine learning.
• Hands-on experience with Generative Adversarial Networks (GANs).
• Experience with Variational Autoencoders (VAEs).
• Ability to research, evaluate, and optimize pre-trained machine learning models.
• Experience implementing deep learning architectures for generative tasks.
• Knowledge of training strategies and regularization techniques.
• Ability to stay current with research advancements in generative modeling.

Preferred Skills

• Experience with Transformer-based generative models.
• Background in audio or multi-modal synthesis.

Key Skills

Education

An y Gradaute