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!

For more information:

1. Website: https://yes4all.com/
2. LinkedIn: www.linkedin.com/company/yes4all-llc/
3. Facebook: www.facebook.com/Yes4AllVNCareers

1. Leadership

• Lead and mentor ML engineers, data scientists, and researchers to drive innovation in machine learning solutions.
• Define and execute the ML roadmap, aligning with business goals and technical feasibility.
• Oversee the end-to-end development of ML models, from data preprocessing to deployment and monitoring.

2. Collaboration

• Collaborate with software engineering teams to integrate ML models into production systems efficiently.

3. Hands-on

• Ensure best practices in ML model development, including reproducibility, version control, and performance evaluation.
• Optimize and automate ML workflows, leveraging MLOps principles for continuous improvement.
• Ensure compliance with data privacy regulations and ethical AI practices.

4. Performance

• Define and track key performance metrics to assess model accuracy, efficiency, and impact.
• Advocate for ML adoption across the organization and drive data-driven decision-making.

5. Tech savvy

• Stay updated with the latest advancements in AI, deep learning, and data science to apply state-of-the-art techniques.

1. Knowledge:

• Expertise in machine learning, deep learning, and statistical modeling techniques.
• Strong understanding of ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Experience with MLOps tools and practices, including model versioning, deployment, and monitoring.
• Proficiency in programming languages such as Python, Java, or Scala for ML applications.
• Deep understanding of cloud platforms (AWS or Azure) and their ML services.
• Knowledge of big data technologies like Spark, Hadoop, or Dask for handling large datasets.
• Familiarity with data engineering, feature engineering, and data pipeline optimization.
• Experience with CI/CD practices for ML model deployment and monitoring.
• Understanding of ethical AI, bias mitigation, and explainable AI techniques.

2. Skills:

• 4+ years of experience as ML Engineer and at least 1+ years of experience working as ML Manager.
• Strong leadership and team management skills to guide ML engineers.
• Excellent problem-solving skills to address ML challenges and model performance issues.
• Strategic thinking to align ML initiatives with business objectives.
• Ability to drive cross-functional collaboration between ML, data, and engineering teams.
• Experience in optimizing ML models for performance, scalability, and cost efficiency.
• Passion for continuous learning and keeping up with AI advancements.

1. FOR YOU TO JOIN

• Financial Well-being: A competitive salary with 13th month salary, annual performance bonus and a variety of allowances.
• Salary review: annually or on excellent performance.
• Activities: company trips, team-building, and other customized monthly bonding events.
• Annual leaves: 16 days off and 01 Birthday Leave per year.
• Healthcare: annual health check, insurance according to Labor Law and extra PTI Insurance package.
• Working Environment: dynamic, friendly environments with working time flexibility, and other perks include snacks, coffee, and healthy food provided daily suited for hardworking, fun, and team collaboration.

2. FOR YOU TO GROW

• Ambition: We are now keeping on with our hyper growth to multicategory, multichannel, multimarket, and expanding into the world largest e-commerce enabler. Hence, there will continuously be opportunities to challenge yourself, learn new skills and knowledge.
• Challenges: Your voice can always be heard as we embrace the eagerness of learning and sharing. You can be your own boss and create your own value with the ability to take initiative and make decisions in all aspects of work.
• Chances: Be led and coached by experienced and inspirational leaders and participate in various training courses where you can enlarge your knowledge and experience in the E-commerce and Supply Chain industry.

3. FOR YOU TO STAY

• People: Having a headquarter in the US and an operation office in Vietnam, our team is young and highly motivated. You will be working with and alongside members having experiences from International Corporations or high profile from Vietnam that share the same passion and dedication.
• Culture: Our working environment is humble, collaborative and 100% healthy. We promote Exchange & Speak out, you can receive transparent and supportive feedback so you can perform the best.
• Career path: Provide you with a great career path, open to rotating for your better understanding of the company and contribute across many of our functions.

And much more, join us and let yourself explore other fantastic things!