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As 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.
You 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.
Develop novel ML models and algorithms for computational perception and interaction
Design and execute rapid experiments to validate new ideas and methods
Explore advancements in computer vision, audio processing, sensor fusion, or related domains
Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems
Measure and track experimentation velocity, the number and quality of validated experiments per quarter
Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead
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San Jose, USA
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San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
Document research findings and communicate technical progress to the broader team
Expertise in real-time inference, model optimization, or efficient architectures
Experience with self-supervised learning, few-shot learning, or foundation models
Background in multimodal learning combining vision, audio, and sensor data
Contributions to open-source ML projects or released research code
Experience collaborating with engineers to productionize research outcomes
Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps
Background in edge computing, on-device ML, or resource-constrained environments
Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems
Knowledge of privacy-preserving ML, federated learning, or on-device data processing
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!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Fitness technology company on a mission to reconnect people with the joy of movement through innovative interactive products.
Visit company websiteJobs and hiring trendsJunior · 2+ years experience
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