Enhance customers' digital journeys through semantic and visual search, rich browse experiences, recommendations, and conversational search by leveraging machine learning and AI in information retrieval.
Requirements
- At least 8 years of industry experience in machine learning, optimization algorithms, and/or deep-learning techniques.
- Strong coding expertise (Python, Java) and experience with PyTorch, TensorFlow, and cloud-scale systems.
- Hands-on experience with Large Language Models (LLMs), Diffusion Models, and other generative AI techniques.
- Strong background in modern NLP, including query understanding, intent modeling, semantic search, and multimodal interaction.
- Established record of building and growing large-scale, high-functioning ML systems for production use.
- Demonstrating proven success in delivering ML-powered products at scale using foundation models and large data pipelines.
- Skilled at translating business needs into AI/ML solutions and taking innovations from research to production.
Responsibilities
- Define the technical roadmap, set priorities, and guide the development of high-impact ML solutions in relevance, query understanding, and personalization.
- Coordinate all aspects of the ML product lifecycle, including model development, data/ML pipelines, quality evaluation, and deployment.
- Ensure standard methodologies in MLOps, cloud deployment, and system integration for scalable, reliable applications.
- Stay on top of AI/ML advancements, fostering experimentation, learning, and embracing innovative techniques.
- Guide, coach, and develop a top-performing group of ML engineers and data scientists.
- Develop strong cross-functional partnerships with product, research and engineering teams to build the product vision, ML strategy, engineering roadmap, and execution plans.
- Maintain engineering excellence in architecture, execution, and delivery.
Other
- A track record of leading a team of ML and AI engineers for at least 3 years is required.
- Experience in creative fields (such as design, media, or content platforms), particularly in applying AI to improve search, discovery, and personalization.
- Experienced leader encouraging innovation, collaboration, and high-performing engineering teams.
- Outstanding communicator, capable of simplifying complex concepts and encourage cross-functional alignment.
- Deep customer focus with a track record of driving adoption and continuous product improvement.
