AI Engineering Manager

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!

I. JOB DESCRIPTIONS

AI Strategy & R&D

• Lead R&D to develop simulation, optimization, and intelligent decision-making systems.
• Design advanced AI models using RL, LLMs, Generative AI and deep learning architectures.
• Translate new research into applied, production-ready solutions.

Technical Leadership

• Architect scalable data & model pipelines: ingestion, training, evaluation, deployment, monitoring.
• Ensure timely delivery of high-impact AI projects with strong performance and reliability.
• Drive experimentation frameworks and best practices across the AI organization.

Team Building & Mentorship

• Hire, mentor, and develop AI engineers and researchers.
• Build a culture of scientific innovation, ownership, and technical excellence.

Cross-Functional Impact

• Work closely with Product, Engineering, Operations, Marketing, and Finance to align AI initiatives with business goals.
• Support digital transformation and automation across the company.

Success Metrics

• Generate minimum 3 actionable insights per quarter.
• Conduct 3 cross-functional collaboration sessions per quarter.
• Drive quarterly training initiatives for AI engineering capability building.

II. REQUIREMENTS

Technical Must-Haves

• 5–7+ years in Deep Learning and Reinforcement Learning.
• Strong expertise in:
• RLHF, Multi-Agent RL, Policy Optimization
• Transformers, BERT, GNNs, GANs, VAEs
• Generative AI & LLM ecosystems
• Proven experience building and deploying end-to-end AI/ML/RL systems at scale.
• Solid understanding of MLOps, model deployment, and data infrastructure.
• Skilled in Python, TensorFlow, PyTorch, and modern AI SDKs.

Leadership & Soft Skills

• Strategic thinker with the ability to translate theory into impact.
• Strong communication skills to align diverse teams around AI vision.
• Demonstrated ability to manage ambiguity, drive results, and cultivate innovation.
• Experience developing talent and leading technical teams.

• Salary: Competitive