# Senior Machine Learning Engineer

> 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 **Senior Machine Learning Engineer** to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.

Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.

### Key Responsibilities

-   Build and develop core machine learning systems that power AI-driven product capabilities.
-   Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
-   Translate research concepts into reliable, production-ready machine learning solutions.
-   Investigate and resolve model performance issues and production system failures using real-world operational insights.
-   Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
-   Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
-   Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
-   Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.

## Requirements

-   Proven experience building and deploying production machine learning systems used by real users.
-   Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
-   Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
-   Experience designing and implementing scalable machine learning pipelines and infrastructure.
-   Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
-   Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
-   Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.

### Preferred Technical Skills

Experience with the following technologies is preferred:

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

## Apply

[Apply at Avomind](https://apply.workable.com/avomind/j/6291637A4F/apply)

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