Staff Research Engineer – AI, Machine Learning

🔥 1 hour ago

🇻🇳 Vietnam – Remote

⏳ Contract/Temporary

🔴 Lead

🧠 AI Research Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Investigate the capabilities, limitations, and training methods of frontier AI systems. • Formulate research questions that inform AI products, platforms, and technical strategy. • Explore 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 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 evidence-based conclusions. • Establish practices for data quality, reproducibility, experimental design, and evaluation. • Iterate 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 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 synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, AI benchmarks, or AI agents/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.