ML Researcher

Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back?, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us.Location: Hong Kong or Remote Type: Full TimeThe RoleAs a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction.The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research.This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation.The MindsetYou are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement.What You’ll DoDevelop novel ML models and algorithms for computational perception and interactionDesign and execute rapid experiments to validate new ideas and methodsExplore advancements in computer vision, audio processing, sensor fusion, or related domainsCollaborate with ML Engineers to integrate research outcomes into training pipelines and production systemsMeasure and track experimentation velocity, the number and quality of validated experiments per quarterContribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech LeadDocument research findings and communicate technical progress to the broader teamMust Have2+ years of hands-on ML research experience in industry, academia, or research labsDemonstrable track record of designing and conducting ML experiments from hypothesis to validationProficiency in Python for ML research and experimentationDeep expertise with PyTorch or TensorFlow for model developmentExperience training and evaluating ML models on real datasetsUnderstanding of model evaluation metrics, experimental design, and statistical validationFamiliarity with data preprocessing, augmentation, and management for ML workflowsExperience presenting research findings to technical audiencesNice To HaveExpertise in real-time inference, model optimization, or efficient architecturesExperience with self-supervised learning, few-shot learning, or foundation modelsBackground in multimodal learning combining vision, audio, and sensor dataContributions to open-source ML projects or released research codeExperience collaborating with engineers to productionize research outcomesFamiliarity with ML Engineering practices: training pipelines, experiment tracking, MLOpsBackground in edge computing, on-device ML, or resource-constrained environmentsExperience with sensing technologies: cameras, microphones, IMUs, or haptic systemsKnowledge of privacy-preserving ML, federated learning, or on-device data processingWe OfferCompetitive 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 fieldNex is located in San Jose, California, USA and Hong Kong. Learn