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Nex

Software Engineer, ML Engineering

Nex · Singapore 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 Software Engineer in ML Engineering at Nex, you will focus on building the infrastructure that supports machine learning research, including training pipelines and data workflows. Your role involves collaborating with researchers to optimize systems for data collection and model integration, ensuring that experiments can progress toward production readiness. You will work within a small, technical team, tackling complex challenges in machine learning systems and real-time inference.

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

  • 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms
  • Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
  • Hands-on experience with PyTorch or TensorFlow in production or research environments
  • Experience building or maintaining ML training pipelines or data workflows
  • Familiarity with model deployment, inference optimization, or MLOps practices

Nice to have

  • Experience with distributed training systems or GPU-accelerated computing
  • Knowledge of data versioning, experiment tracking, or ML metadata management
  • Familiarity with containerization (Docker) and orchestration tools
  • Contributions to open-source ML projects or research publications
  • Experience working in small, high-performance technical teams

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

  • Remote work option available, but location may influence team dynamics
  • No specific salary information provided
  • The role involves significant collaboration with researchers, which may require adaptability to varying technical needs

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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