ML Researcher

Job not on LinkedIn

🔥 0 minutes ago

🇭🇰 Hong Kong – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧠 AI Research Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nex

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🎮 Gaming

🥽 AR/VR

🛍️ eCommerce

💰 Series B on 2021-04

Gaming • AR/VR • eCommerce

Nex is a company that creates immersive motion games and experiences focused on physical play. They believe that physical activity is crucial for fun and social interaction, which is why they develop innovative games that transform everyday environments into engaging play spaces. With advanced motion technology, Nex enables sensor-free motion tracking on various devices, allowing users to enjoy games that make movement enjoyable and accessible.

📋 Description

• 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, including 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

🎯 Requirements

• 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

🏖️ Benefits

• 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