AI / ML Engineer vs AI Research Scientist: Salary & Career Benchmarks in Vietnam

In Vietnam, AI Research Scientist roles typically command a higher median salary than AI / ML Engineer positions. According to our 2026 live benchmark data, a mid-level AI Research Scientist earns a median salary of ₫54.1M, whereas a AI / ML Engineer brings in roughly ₫52.3M (a gap of ₫1.8M at the median).

Seniority, tech stack, and location all move this gap. Senior practitioners in either discipline can exceed the upper range through specialist skills. See the skills premium section below for the specific certifications and tools that push offers to the top of the range.

While both positions are vital to a modern tech organisation, AI / ML Engineer and AI Research Scientist have fundamentally different daily workflows.

AI / ML Engineer focuses primarily on building and deploying machine learning models into production systems, spanning both model development and the engineering needed to serve them reliably. Day-to-day work revolves around training and fine-tuning models, building feature pipelines, containerising models for deployment, setting up monitoring for model drift, and collaborating with product teams on integration.

AI Research Scientist focuses on conducting original research into new model architectures, training techniques, or evaluation methods, and publishing or productionising findings. Their time is spent designing experiments, running large-scale training jobs, reading and writing research papers, and collaborating with engineering teams to translate findings into deployable systems.

Transitioning between these two paths is achievable but requires targeted upskilling.

Moving from AI / ML Engineer to AI Research Scientist:

Moving from AI Research Scientist to AI / ML Engineer:

Neither path requires starting from scratch. Professionals in both roles share underlying technology fluency; the gap is usually domain knowledge and specific tooling rather than core engineering fundamentals.

In Vietnam in 2026, both roles are seeing demand, but with different drivers.

AI / ML Engineer demand is extreme, particularly in domestic AI product teams and Japanese and South Korean-owned delivery centers in Ho Chi Minh City, with a growing AI research cluster in Hanoi, led by employers such as VinAI Research and Sky Mavis. AI Research Scientist demand is high, concentrated in domestic AI product teams and Japanese and South Korean-owned delivery centers in Ho Chi Minh City, with a growing AI research cluster in Hanoi, led by employers such as FPT Smart Cloud and MoMo.

Workspace flexibility significantly impacts total compensation value in Vietnam.

AI / ML Engineer roles score 68% on our remote-friendliness index (High). This is because model development and training work is largely independent and tool-driven, and Vietnam’s AI teams, competing for a small pool of experienced researchers against Singapore and Japan-based employers, have kept fully remote and async-first arrangements common. Where in-office attendance is required, it is typically driven by production deployment reviews and cross-functional integration work still pull most teams into the office two to three days a week, and Ho Chi Minh City-based product teams increasingly formalise this into a fixed hybrid schedule as headcount scales.

AI Research Scientist roles score 55% (Moderate). Much of the literature review and experimentation work can be done independently, and Vietnam’s AI teams, competing for a small pool of experienced researchers against Singapore and Japan-based employers, have kept fully remote and async-first arrangements common is the primary driver of flexibility. When office days are required, it is usually for compute access and close collaboration with lab colleagues on live experiments keep most research scientists on-site at their institution or company lab, and Ho Chi Minh City-based product teams increasingly formalise this into a fixed hybrid schedule as headcount scales.