# Staff Research Engineer - AI & Machine Learning

> Gramian Consulting Group · Vietnam (Remote) · Contract · Posted 2026-09-29

**Workplace:** remote

**Department:** Partnerships

## Description

**About Gramian**  
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**About the Role**

We are looking for a **Staff Research Engineer** to advance research and practical innovation in **frontier AI systems**. You will investigate high-impact questions, design rigorous experiments, build research-grade prototypes and tooling, and collaborate across Research, Engineering, Product, and Operations teams.

The role focuses on areas including **synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and AI evaluation**. You will help translate promising research ideas into scalable applications and improvements to AI products and systems.

**SENIORITY:** Staff level — 7+ years

**Key Responsibilities**

-   Investigate the **capabilities, limitations, and training methods** of frontier AI systems.
-   Formulate research questions that inform AI products, platforms, and technical strategy.
-   Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
-   Stay current with advances in machine learning and identify opportunities for meaningful technical contributions.
-   Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
-   Train, test, and evaluate models using modern AI and machine learning tools.
-   Analyze experimental results and develop clear, evidence-based conclusions.
-   Establish rigorous practices for **data quality, reproducibility, experimental design, and evaluation**.
-   Iterate rapidly from research hypotheses to validated technical insights.
-   Collaborate with Research, Engineering, Product, and Operations teams to translate findings into practical applications.
-   Communicate technical findings to both specialized and cross-functional audiences.
-   Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate.
-   Mentor engineers and researchers and contribute to technical discussions and peer review.

## Requirements

-   **Ph.D. or Master’s degree** in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical field.

-   **7+ years of professional experience**, including significant research engineering experience in machine learning or frontier AI systems.
-   Strong foundations in **machine learning** and hands-on experience designing experiments, training models, evaluating models, or developing AI systems.
-   Demonstrated research experience in at least one of the following:

-   Synthetic or agentic data generation
-   Reinforcement learning or post-training
-   Model understanding
-   AI evaluation
-   AI benchmarks
-   AI agents or tool-using systems

-   Strong **Python programming** skills with the ability to implement, test, and iterate quickly in research environments.
-   Experience with modern AI/ML frameworks, tooling, and research workflows.
-   Strong scientific judgment around **experimental rigor, data quality, reproducibility, and evidence-based decision-making**.
-   Excellent technical communication skills and ability to work independently across research and engineering teams.

## Apply

[Apply at Gramian Consulting Group](https://apply.workable.com/gramian/j/D6A38F7ED1/apply)

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