# VP of Research (Machine Learning)

> Avomind · Singapore (Remote) · Full-time · Posted 2026-07-27

**Workplace:** remote

**Department:** External - Technology

## Description

### About the Company

Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.

The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.

Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.

### About the Role

Our client is seeking a **VP of Research (Machine Learning)** to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage.

Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact.

### Key Responsibilities

-   Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
-   Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models.
-   Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics.
-   Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development.
-   Drive research and experimentation across advanced machine learning techniques, including:

-   Retrieval-Augmented Training (RAG)
-   Mixture of Experts (MoE)
-   Model Distillation
-   Multi-Agent Orchestration
-   Multimodal AI Systems

-   Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications.
-   Establish and maintain 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 rather than focusing solely on academic research or benchmark performance.

### Preferred Technical Skills

Experience with the following technologies is preferred:

-   Python
-   PyTorch and/or JAX
-   GPU-based model training and inference systems

## Apply

[Apply at Avomind](https://apply.workable.com/avomind/j/FB677415D2/apply)

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