Gramian Consulting
Gramian Consulting
„Gramian Consulting“ yra nuotoliniam darbui pirmiausia teikianti konsultacijų įmonė, daugiausia dėmesio skirianti inžinerijos, duomenų ir dirbtinio intelekto talentams. Ji padeda organizacijoms didinti techninius pajėgumus pasitelkiant talentų papildymą, darbuotojų paiešką, dedikuotas komandas ir rangovų valdymą, taip pat teikia tokias paslaugas kaip LLM modelių mokymas ir derinimas, DI agentai ir asistentai, MLOps bei DI infrastruktūra. Įmonė taip pat remia individualų karjeros vystymą per mentorystės ir švietimo programas, apimančias pasirengimą karjerai, pasiruošimą darbo pokalbiams ir tarptautinių rinkų pažinimą. Jos veikla apjungia praktinę inžinerijos ir darbuotojų paieškos patirtį, kad padėtų klientams suburti technines komandas ir pritaikyti DI verslo poreikiams.

Staff Research Engineer, AI and Machine Learning (Remote Contract) | Gramian Consulting

Lead frontier AI research spanning model evaluation, experimentation, and prototype development. Gramian Consulting delivers IT professional services and engineering talent solutions.

Aprašymas

  • Examine the capabilities, limitations, and training approaches of frontier AI systems
  • Define research questions that shape AI products, platforms, and technical direction
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation
  • Track machine learning advances and identify opportunities for meaningful technical contributions
  • Build 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 standards for data quality, reproducibility, experimental design, and evaluation
  • Advance research hypotheses into validated technical insights through iterative investigation
  • Partner with Research, Engineering, Product, and Operations teams to apply findings in practice
  • Present technical results to specialist and cross-functional audiences
  • Support technical reports, publications, open-source work, workshops, or conferences when relevant
  • Mentor engineers and researchers while participating in technical reviews and peer discussions

Reikalavimai

  • 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
  • Deep machine learning fundamentals and practical experience designing experiments, training and evaluating models, or building AI systems
  • Research experience with 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 for rapid implementation, testing, and iteration in research settings
  • Experience using contemporary AI and machine learning frameworks, tools, and research practices
  • Sound 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

Susiję darbai

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Atidaryti