Nex

ML Researcher

Nex · Hong Kong or Remote

Posted about 3 months ago

or apply directly on Nex's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Nex's roles stay open a median of 81 days
Reposted
No
Salary listed
No
6% of Nex's roles list one
Ghost-job risk at Nex
high
49 stale, 1 reposted of 51 open
Hiring momentum
61 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Nex's own greenhouse board since 2026-08-03. Full hiring picture for Nex.

About this role

As a ML Researcher at Nex, you will focus on developing innovative machine learning models and algorithms to enhance the Nex Playground platform. Your role involves conducting rapid experiments, collaborating with ML Engineers, and contributing to the technical roadmap while ensuring that research findings are effectively communicated to the team. This position is ideal for those passionate about applying their research to real-world applications in a dynamic and experimental environment.

Our read on this posting2.2out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nex as an employer.

What you need

  • 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

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

What you get

  • 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

Worth weighing

  • No salary listed
  • The role emphasizes rapid experimentation, which may require a fast-paced work style
  • Remote work option available, but location may affect collaboration dynamics

Summarised from Nex's posting. Read the full original.

Listed by Nex on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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