Gramian Consulting
Gramian Consulting
Gramian Consulting ir attālinātam darbam prioritāti piešķirošs konsultāciju uzņēmums, kas koncentrējas uz inženierzinātņu, datu un mākslīgā intelekta talantiem. Tas palīdz organizācijām paplašināt tehniskās iespējas, nodrošinot talantu piesaisti, personāla atlasi, specializētas komandas un līgumdarbinieku pārvaldību, kā arī piedāvā tādus pakalpojumus kā LLM modeļu apmācība un precizēšana, MI aģenti un asistenti, MLOps un MI infrastruktūra. Uzņēmums atbalsta arī individuālo karjeras attīstību, īstenojot mentoringa un izglītības programmas, kas aptver sagatavotību karjerai, gatavošanos darba intervijām un orientēšanos starptautiskajā darba tirgū. Tā darbība apvieno praktisku inženierijas un personāla atlases pieredzi, lai palīdzētu klientiem izveidot tehniskās komandas un izmantot MI uzņēmējdarbības vajadzībām.

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.

Apraksts

  • 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.

Prasības

  • 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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