Sr. ML Engineer (Embedded Vision)

Nex is helping families reconnect with the joy of movement through fun, social, and interactive content that’s accessible to all ages. Its award-winning Nex Playground console, launched in December 2023, uses cutting-edge AI, mobile and vision technologies to merge digital and physical worlds, immersing players in the experience using their natural body movement. Nex Playground games range from original sports and fitness titles, to educational games and titles in collaboration with Hasbro and Sesame Workshop.

Since its founding, Nex has been recognised as one of Fast Company’s Most Innovative Companies, TIME’s Best Inventions, Parents’ Best Entertainment System for Families, and has been awarded the prestigious Apple Design Award.  Nex Playground is also kidSAFE+ COPPA certified, highlighting the company’s firm stance on privacy and safety for kids and families.  To learn more, visit https://www.nex.inc or follow the company on Instagram and Facebook.

Location: Hong Kong or Remote
Type: Full Time
Reports to: Head of Platform Engineering

The Role

As Nex’s Senior ML Engineer of Embedded Vision, you are in a leading role to tackle the challenge of developing the world’s best indoor motion tracking technology using widely accessible consumer hardware. You are part of an ambitious and versatile Platform Engineering Team pushing the boundaries of motion gaming through developing state-of-the-art ML/CV algorithms. Your products will transform family living rooms into active playgrounds, promoting a healthy lifestyle and being loved by millions globally. You report to the Head of Platform Engineering.

As a technology enthusiast, you always want to be part of a creative process that improves people’s lives. You are fond of new innovations, especially those intersecting the physical and digital worlds. You are a relentless learner and problem solver. You have many practical experiences adapting state-of-the-art ML/CV algorithms in embedded systems. You resist the urge to succumb to deadlines, pressure, and skepticism until you get to the root of every problem. Over the course of many years, you have devoted all your attention to the development of AI/ML especially in the computer vision area, and you can comfortably call yourself an expert in the area.

What You Will Bring To The Table

• Profound experience and knowledge in ML/CV algorithms and their applications.
• An optimistic mindset that believes any skill can be learned and any solution can be tried.
• A developed sense and sensitivity to technology to lead your colleagues down the right paths.
• Skills that accelerate your colleagues’ learning, experimentation, and product development.

Must Have

• 5+ years of experience in designing, developing and adopting ML-based CV algorithms.
• Experience with deploying ML-based CV algorithm on the edge.
• Postgraduate degree in Computer Science, a related engineering field, or equivalent practical experience.
• Research, publications, or domain knowledge in ML and CV.
• Proficiency in English communication.

Should Have

• Deep understanding of ML/CV tools and frameworks such as TensorFlow, PyTorch, OpenCV, etc.
• Good understanding of ML theories and architectures, numerical optimization and image processing techniques.
• Proficiency in programming and scripting languages
• Scientific mindset, ability to substantiate claims and present arguments with scientific proofs.
• Fascination with innovations and technology.
• Commitment to building useful products.

Nice To Have

• Experience in MLOps and automation.
• Knowledge of physics modeling, computational geometry, statistics and quantitative methods.
• Understanding of computer architectures, operating systems and low-level programming.
• Relevant industry connections.
• Interest in venture business and startup life.

We Offer

• Competitive compensation package.
• Flexible working hours and vacation policy.
• Product-driven culture that treasures talents and individual growth.
• Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field

Nex is located in San Jose, California, USA and Hong Kong. Learn more about us at nex.inc/who-we-are.

We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!