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Gramian Consulting
Gramian Consulting
ConsultingLogisticsMarketing
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.
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Staff Research Engineer, AI and Machine Learning — Remote in Vietnam

Lead research on frontier AI systems for Gramian Consulting, an IT professional services and engineering talent consultancy. Build experiments, prototypes, evaluations, and scalable machine learning innovations.

VNVietnamRemoteContractLeadEnglish RequiredAI Research ScientistMachine Learning Engineer
Python

Description

  • Examine the capabilities, limitations, and training techniques of frontier AI systems.
  • Define research questions that guide AI products, platforms, and technical strategy.
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation methods.
  • Track advances in machine learning and identify opportunities for meaningful technical contributions.
  • Create research-grade datasets, experiments, prototypes, tools, and evaluation frameworks.
  • Train, test, and assess models with current AI and machine learning technologies.
  • Interpret experimental findings and draw evidence-based conclusions.
  • Develop reliable practices for data quality, reproducibility, experimental design, and evaluation.
  • Advance research hypotheses into validated technical insights through iterative experimentation.
  • Partner with Research, Engineering, Product, and Operations teams to apply findings in practice.
  • Present technical discoveries to specialist and cross-functional audiences.
  • Support technical reports, publications, open-source initiatives, workshops, or conferences when appropriate.
  • Mentor engineers and researchers while contributing to technical reviews and discussions.

Requirements

  • A Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical discipline.
  • At least 7 years of professional experience, including substantial research engineering work in machine learning or frontier AI systems.
  • Solid machine learning fundamentals and practical experience designing experiments, training and evaluating models, or building AI systems.
  • Research experience in synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, benchmarks, or AI agents and tool-using systems.
  • Advanced Python skills with the ability to implement, test, and rapidly iterate in research settings.
  • Experience using contemporary AI and machine learning frameworks, tools, and research workflows.
  • Strong scientific judgment regarding experimental rigor, data quality, reproducibility, and evidence-based decisions.
  • Excellent technical communication skills and the ability to work independently across research and engineering teams.

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