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VP of Research (Machine Learning)

1 month, 3 weeks ago
Singapore
Full-time
Executive
AI Research Scientist
Artificial Intelligence and Machine Learning
Machine Learning Python PyTorch
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AVOMIND

AVOMIND

AVOMIND is a global recruitment firm based in Berlin, specializing in hiring commercial, strategy, and analytics & insights talent for companies and candidates worldwide. With a focus on executive search and embedded recruitment, AVOMIND connects high-...

Professional Services
11-50
Founded 2019
View All Jobs 78

Description

  • Define and evolve the research roadmap for core AI capabilities, including context representation, memory, reasoning, planning, and orchestration.
  • Decide when to build proprietary model architectures versus adapting frontier open-source or commercial models.
  • Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term behavior.
  • Lead the AI alignment, safety, and guardrail strategy as part of product development.
  • Drive research and experimentation in advanced machine learning approaches such as RAG, MoE, model distillation, multi-agent orchestration, and multimodal AI systems.
  • Partner with product and engineering leadership to define and execute the intelligence strategy.
  • Establish high standards for research quality, technical judgment, and engineering excellence across the organization.

Requirements

  • Extensive experience designing, building, and deploying machine learning systems in production environments.
  • Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance.
  • Proven ability to translate advanced research into reliable, production-ready AI solutions.
  • Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments.
  • Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability.
  • Strong ownership mindset with the ability to lead technical strategy and execution.
  • Passion for building practical AI systems that deliver measurable real-world impact.
  • Experience with Python (preferred).
  • Experience with PyTorch and/or JAX (preferred).
  • Experience with GPU-based model training and inference systems (preferred).

Interested in this position?

Apply directly on the company website

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