AI Engineering Manager

Mô tả Công việc

Founded in 2009 in Orange County, California, Yes4All has grown to become one of the leading names in the fitness, furniture and lifestyle market. A significant player in e-commerce since 2016, we were among the first invited to Amazon’s Vendor Central (AVC) program and have been a top-12 Sports & Outdoors brand on Amazon since 2021.

We expanded our presence across the USA and 17 international markets, reaching $132M GMV with 74% YoY growth in 2023, achieving 26% YoY GMV growth in 2024 and a 3.5X increase in EBITDA. With 2,000+ SKUs on platforms like Amazon, Wayfair, and Walmart, we continue to scale.

Guided by Mr. Nguyen Chi My, we leverage Vietnam’s competitive strengths and strategic manufacturing partnerships to drive innovation. Beyond our own success, we empower Vietnamese SMEs, providing expertise to scale internationally.

At Yes4All, our people are at the heart of our success. We empower our team members to Shine The S.E.A by embracing extreme ownership, which fosters authentic and trust-based collaboration and drives sustainable value creation. As part of the CriTICal SquaD, our members embody core competencies that set us apart. We foster a dynamic and supportive environment, encouraging individuals to grow, take initiative, and make incredible impacts.

Our vision: To become the global leader in innovative products and services, delivering excellence, quality and affordability for all.

Our mission: To empower global consumers with access to quality and affordable products through innovative e-commerce solutions, while fueling the success of innovators, brands and manufacturers.

Join us and be part of a passionate team that is redefining the fitness and lifestyle industry!

JOB PURPOSE

• Lead AI R&D to build a next-gen simulation platform for e-commerce, advertising, and supply chain optimization.
• Design and develop advanced AI systems leveraging Reinforcement Learning, Generative AI, LLMs, and deep learning.
• Architect scalable AI pipelines - from data ingestion and modeling to experimentation and deployment.
• Bridge research and applied AI, translating state-of-the-art models into business-ready solutions.
• Collaborate with Product, Engineering, and Business teams to drive measurable impact on growth, efficiency, and decision-making.
• Mentor and build a high-performing AI team, cultivating a culture of scientific excellence and innovation.
• Shape the company’s AI strategy and infrastructure roadmap, influencing technology choices and ecosystem integration.

RESPONSIBILITY AND AUTHORITY

Propose AI Solutions

• Propose automation and AI solutions to improve speed, accuracy, and efficiency. Prioritize and plan high-impact AI initiatives.

Lead Development Execution

• Turn approved ideas into clear action plans.
• Manage the technical team to build and deliver AI solutions.
• Ensure projects are completed on time and meet quality standards.

Build & Lead the AI Team

• Hire, train, and mentor AI engineers
• Lead best practices in development and experimentation.

Cross-Functional Collaboration

• Work closely with Operations, Marketing, Finance, and other departments.
• Align AI initiatives with business needs.
• Support digital transformation across Y4A

Yêu Cầu Công Việc

REQUIREMENTS

• 5-7+ years of experience in Deep Learning, Reinforcement Learning.
• Deep expertise in Reinforcement Learning (RLHF, Multi-Agent RL, Policy Optimization) and Deep
• Learning architectures (Bert, Transformers, GNNs, GAN, VAE, etc.).
• Experience with Large Language Models, Generative AI, or simulation systems.
• Proven experience building and deploying AI/ML/DL/RL systems into production. Help other teams build predictive, forecasting, and anomaly detection models.
• Strong understanding of MLOps, scalable model deployment, and data infrastructure.
• Track record of end-to-end AI innovation - from concept to production.
• Exceptional communication and leadership - able to guide engineers, data scientists, and stakeholders toward a unified AI vision.
• Passion for turning theoretical advances into real-world impact.
• Strong expertise in Python, TensorFlow, Pytorch, AI SDKs