VP of Research, Machine Learning

BJAK
Beijing
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical judgment","High ownership","Evaluation mindset","Systems thinking","Independent execution"]

Own the research and intelligence direction for a proactive AI assistant, defining how it reasons, evaluates, and improves in high-frequency product workflows. Set research strategy across context/memory, planning and orchestration, and decide between new architectures and adapting frontier models. Build real-world evaluation frameworks, lead alignment/safety/guardrails, and guide exploration of retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems in close partnership with engineering.

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FursaFursa
BJAK
BJAK
1 day ago

VP of Research, Machine Learning

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Last checked: 6 hours agoStatus: Live

Job Summary

Own the research and intelligence direction for a proactive AI assistant, defining how it reasons, evaluates, and improves in high-frequency product workflows. Set research strategy across context/memory, planning and orchestration, and decide between new architectures and adapting frontier models. Build real-world evaluation frameworks, lead alignment/safety/guardrails, and guide exploration of retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems in close partnership with engineering.
Location: Beijing
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Director level

Key Responsibilities

  • •Set and evolve the research direction for core intelligence, including context representation, memory, reasoning, planning, and orchestration.
  • •Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.
  • •Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior.
  • •Own alignment, safety, and guardrail strategy as first-class product concerns.
  • •Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

Key Requirements

  • •Deep experience building or evolving real machine learning systems used in production.
  • •Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.
  • •Builder’s mindset focused on systems that work in the real world, not just ideas.
  • •Comfortable making irreversible or high-impact decisions with incomplete information.
  • •Obsession with evaluation, correctness, and how systems behave over time.
Experience:Machine learningAI
Skills:Technical judgmentHigh ownershipEvaluation mindsetSystems thinkingIndependent execution
Tech Stack:PythonPyTorchJAXGPUMulti-agent orchestrationRetrieval-augmented trainingMixture-of-expertsDistillationMultimodal systems

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
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