Design, develop, train, and evaluate state-of-the-art generative AI models (GANs, VAEs, Transformers) and large-scale recommender systems (GNN embeddings). Optimize model performance and scalability, integrate solutions with cross-functional teams, provide technical leadership, and mentor junior engineers to drive AI-driven media buying decisions.
As a Senior AI Engineer, you will be a key player in the design, development, and implementation of cutting-edge generative AI models and systems. Drawing on your expertise in machine learning, deep learning, and generative algorithms, you will help advance our organization's AI capabilities. This role requires a strong understanding of both theoretical concepts and practical applications, as well as the ability to provide technical leadership in developing such solutions.
Responsibilities:
Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions.
Algorithm Development: Develop large-scale recommender systems based on GNN embeddings and similar methodologies to optimize media buying decisions.
Optimize and refine existing algorithms to improve performance, scalability, and efficiency.
Lead the training and evaluation of generative models on extensive datasets.
Develop methods for assessing model performance and making improvements based on feedback.
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative AI into various applications.
Mentor and guide junior team members.
Requirements
Qualifications:
A minimum of 5 years of experience in machine learning or related fields.
At least 2 years of experience in generative AI or related areas.
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
Expertise in generative models, neural networks, and reinforcement learning.
Advanced degree (Ph.D. or equivalent) in Computer Science, Machine Learning, or a related field, or a proven track record in the field.
Demonstrated ability to lead and mentor a team of AI engineers.
Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
An analytical mindset to solve complex problems and provide innovative solutions.
Adaptability to evolving technologies and methodologies in the fast-paced field of AI.
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