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Open nowFirst seen 12 hours ago

Senior Researcher (Machine Learning)

Hyphen Connect71 open roles

Where
Hong Kong, Hong Kong SAR, Remote
Work mode
Remote
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Your applicationOpen nowSenior Researcher (Machine Learning)Hyphen Connect · Hong Kong, Hong Kong SAR, Remote

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hyphen Connect's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 12 hours ago

The posting

Our Client is a AI start-up company. You will own the research and intelligence direction for our core system. Your mission is to define how our AI reasons, evaluates, and continuously improves within a high-frequency production environment. This is a role for a pragmatic visionary who shapes early product intelligence by blending research rigor with real-world application.

What You'll Do

  • Steer Core Intelligence Direction: Define and evolve the research roadmap for core AI capabilities, including context representation, memory, reasoning, planning, and orchestration.
  • Architect vs. Leverage Decision-Making: Determine when to design proprietary model architectures versus adapting and fine-tuning frontier commercial or open-source models.
  • Build Pragmatic Evaluation Frameworks: Establish robust evaluation guardrails that prioritize real-world usefulness, safety, and long-term behavioral reliability over vanity benchmarks.
  • Explore Frontier AI Techniques: Guide the hands-on exploration of advanced methodologies, including retrieval-augmented training, mixture-of-experts, distillation, and multi-agent systems.
  • Partner on Product Strategy: Work in lockstep with product and application engineering to embed safety, alignment, and elite intelligence standards into the core product UX.

Requirements

  • Production-Proven ML Expertise: Deep experience building, scaling, and evolving high-frequency machine learning systems successfully deployed in production.
  • Elite Technical Judgment: Exceptional intuition regarding model behavior, failure modes, long-horizon trade-offs, and making high-impact architectural decisions with incomplete data.
  • Practical Builder's Mindset: An obsession with execution, correctness, and real-world system behavior over academic publishing or incremental benchmark chasing.
  • Founder-Level Ownership: A high-agency, founder-style mentality with a proven track record of setting the technical bar for research rigor and organization-wide quality.
  • Advanced Infrastructure Literacy: Proficiency with Python, PyTorch/JAX, and navigating GPU-based training and inference infrastructure.
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