ML Researcher

Nex; Hong Kong; On-site; HKD 75,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation package

Flexible working hours

Product-driven culture

Job summary

Nex is looking for an ML Researcher to develop cutting-edge machine learning models for computational perception and interaction. You will work with a talented, technical team focused on innovative solutions in a stimulating environment.

The position requires strong experience in ML research and a collaborative attitude to integrate findings with engineering practices. Perks include competitive compensation, flexible working hours, and exposure to groundbreaking technologies.

Qualifications

• 2+ years of hands-on ML research experience in industry, academia, or research labs.
• Demonstrable track record of designing and conducting ML experiments.
• Proficiency in Python for ML research and experimentation.

Responsibilities

• Develop novel ML models for computational perception and interaction.
• Design and execute rapid experiments to validate new ideas.
• Collaborate with ML Engineers to integrate research outcomes.

Skills

Hands-on ML research experience

Proficiency in Python

Deep expertise with PyTorch or TensorFlow

Understanding of model evaluation metrics

Experience presenting research findings

Job description

Location

Hong Kong or Remote (Nex is located in Hong Kong and San Jose, California, USA).

The Role

As an 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 Mindset

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.

What You’ll Do

• 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
• Document research findings and communicate technical progress to the broader team

Must Have

• 2+ years of hands‑on ML research experience in industry, academia, or research labs
• Demonstrable track record of designing and conducting ML experiments from hypothesis to validation
• Proficiency in Python for ML research and experimentation
• Deep expertise with PyTorch or TensorFlow for model development
• Experience training and evaluating ML models on real datasets
• Understanding of model evaluation metrics, experimental design, and statistical validation
• Familiarity with data preprocessing, augmentation, and management for ML workflows
• Experience presenting research findings to technical audiences

Nice To Have

• 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

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 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.