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 the ML Engineering track 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 data systems and ensure experiments are production-ready, while also participating in code reviews and contributing to shared tools. This position emphasizes technical problem-solving and requires a deep understanding of ML systems and software engineering practices.
- 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
- 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
- No salary listed
- Remote work option available, but location preference is Hong Kong or San Jose, California
- The role requires a strong technical mindset and the ability to solve complex challenges
- The company encourages applications from candidates who may not meet all requirements, indicating a flexible approach to hiring
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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