Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Nex

Software Engineer, ML Engineering

Nex

Software Engineer at Nex contributing to ML infrastructure and research capabilities. Building systems for training pipelines and data workflows in an interactive gaming company.

Posted 7/7/2026full-timeRemote • 🇸🇬 SingaporeMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
GoJavaPythonPyTorchRustTensorflow

About the role

Key responsibilities & impact
  • Design and build training pipelines, data workflows, and model integration systems
  • Develop infrastructure that accelerates research iteration and reduces turnaround time
  • Build systems for data collection, curation, and preprocessing at scale
  • Create tools and automation that move experiments toward production readiness
  • Optimize data pipelines for reliability, performance, and observability
  • Collaborate with ML researchers to understand their needs and remove technical blockers
  • Work on model serving infrastructure and integration with the production framework
  • Write clean, well-tested code that maintains high engineering standards
  • Participate in code reviews and help raise the engineering bar across the team
  • Contribute to shared tools, infrastructure, and cross-role projects (20% Time)
  • Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction
  • Document systems and decisions to support team knowledge sharing

Requirements

What you’ll 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.

Benefits

Comp & perks
  • 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

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Software EngineeringData WorkflowsModel Integration SystemsInfrastructure DevelopmentData CollectionData CurationPreprocessingCode ReviewProduction ReadinessInference Optimization
Soft Skills
CollaborationDocumentationProblem Solving