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← Công ty TNHH Sapawoo

Senior Research Engineer — Cognitive Systems

Công ty TNHH Sapawoo · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Hồ Chí Minh, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Build mechanisms. Translate concepts into computational hypotheses and working prototypes. Connect models with persistent state, memory and processes that operate across repeated experiences.
  • Design decisive experiments. Establish baselines, controlled comparisons and ablation studies. Define in advance what evidence would support, weaken or falsify a hypothesis.
  • Study development over time. Evaluate continuity, learning, judgement and reliable commitments across interactions. Investigate failures that a polished demonstration can conceal.
  • Shape the architecture. Work with the technical lead on component boundaries, state ownership and the allocation of computation across the body and optional private infrastructure.
  • Connect internal processes with experience. Work with interaction design on voice, camera and shared workspaces, making attention, uncertainty and proposed actions understandable to a human.
  • Bring science into engineering. Critically assess relevant work in AI, psychology and cognitive science. Initiate focused collaborations where external expertise can resolve a concrete research question.
  • Make clear recommendations. Document results and limitations. Explain when we should continue, change direction or remove a mechanism.
  • You will own the experimental quality of our faculty research: hypotheses, implementations, evaluation methods, reproducibility and interpretation.
  • You will help shape the cognitive architecture with the technical lead and contribute directly to product decisions through evidence.
  • This is a hands-on founding role. Writing code, inspecting behaviour and debugging experiments are central to the work.
  • Strong software engineering skills, particularly in Python, and experience building reproducible ML experiments.
  • Practical experience with modern language or multimodal models, inference and evaluation.
  • Depth in at least one relevant area: memory and learning, reasoning and planning, cognitive architectures, multimodal perception, affective computing or computational motivation.
  • Experience building systems whose behaviour depends on state and history across interactions.
  • Strong experimental judgement: meaningful baselines, controlled comparisons, failure analysis and careful interpretation.
  • Enough grounding in cognitive science or relevant psychology to engage critically with theories of attention, memory, emotion, motivation and learning.
  • The ability to turn an unfamiliar research question into a tractable investigation.
  • Intellectual independence and clear communication across engineering, research and design.
  • You do not need to be an expert in every faculty. We are looking for depth, strong judgement and the ability to connect disciplines.

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