15 часов назад
AI Research Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist (AI): Leading research and intelligence direction for a proactive smart assistant product focusing on context representation, reasoning, planning, and orchestration. Focus on designing model architectures, evaluation frameworks, alignment, safety, and exploring frontier AI techniques to build reliable, real-world machine learning systems.
Location
Location: United States, Remote
Company
is a high talent density startup focused on building AI-native smart assistant applications for everyday users.
What you will do
- Set and evolve research direction for core AI intelligence including context representation, memory, reasoning, planning, and orchestration.
- Decide on designing new model architectures or leveraging frontier open-source/commercial models.
- Define evaluation frameworks measuring real-world usefulness, robustness, safety, and long-term behavior.
- Own alignment, safety, and guardrail strategies as product priorities.
- Guide exploration of advanced AI techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.
- Collaborate closely with product and engineering teams to shape early product intelligence direction.
Requirements
- Location: Must be based in the United States
- Deep experience building or evolving real machine learning systems in production.
- Strong technical judgment on model behavior, failure modes, and long-horizon trade-offs.
- Proficiency in Python, PyTorch or JAX, and GPU-based training/inference systems.
- High ownership mentality and ability to make high-impact decisions with incomplete information.
Culture & Benefits
- Small, world-class, high talent density team.
- Collective decision-making and rapid execution balance.
- Focus on shipping high-quality work and continuous learning.
- Transparent and efficient hiring process with prompt decisions.
Hiring process
- 3 to 4 interviews conducted via virtual meetings and/or onsite.
- Evaluations by technical team members.
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