[HCM] Machine Learning Engineer / Researcher (Tech Lead)

Why Join Us?

At Our Company, we're pioneering the future of intelligent automation. It's an opportunity to solve hard engineering problems, grow with a global-minded startup, and build products that are transforming how work gets done.

Our mission is bold: to build advanced AI web agents that seamlessly handle complex, repetitive online tasks. Our innovative solutions leverage artificial intelligence to interact with the web at an unprecedented scale, transforming how businesses operate.

By joining our Ho Chi Minh City Engineering Hub, you’ll become a foundational team member in a fast-growing startup led by engineering veterans from Meta, Amazon, and Silicon Valley’s top AI companies. We bring a culture of technical excellence, high ownership, and deep product thinking where every engineer has a seat at the table.

You’ll work on some of the most challenging and exciting systems in agentic AI today:

• Experimental prototypes exploring new use cases for AI agents

• Real-time infrastructure for autonomous AI decision-making

• Anti-bot stealth engineering to operate across massive scale

• Scaling thousands of browsers with ultra-low latency and high performance

Who You Are ?

You’re a highly technical ML engineer with strong leadership skills. You thrive in ambiguity, enjoy solving complex business problems with advanced ML systems, and want to influence both the technical roadmap and the culture of a high-growth startup.

You might be the right fit if you:

• Have experience building and scaling ML systems with deep neural networks

• Drive technical direction and inspire others with long-term vision

• Use data-driven reasoning to solve problems and reduce technical debt

• Collaborate effectively with cross-functional and global partners

• Are excited to shape the foundation of an ML practice in Vietnam

What You’ll Do ?

As an ML Engineer / Researcher (Tech Lead), you will:

• Define team direction and drive adoption of advanced ML techniques.

• Communicate complex systems clearly across teams and stakeholders.

• Lead long-term technical vision and roadmap for ML initiatives.

• Resolve scalability, performance, and technical debt challenges.

• Collaborate closely with US-based engineering teams.

• Identify opportunities, prioritize resources, and influence strategy.

• Contribute hands-on to prototyping, training, and deploying ML systems.

Qualifications

Minimum:

• Strong experience designing and scaling ML systems with deep neural networks.

• Expertise in TensorFlow, PyTorch, or JAX.

• Bachelor’s degree in CS, Engineering, or equivalent practical experience.

• 8+ years of programming experience (or 4+ years with PhD).

• Proven track record in planning multi-year roadmaps.

• Experience leading large-scale engineering efforts.

• Strong analytical and technical communication skills.

• Fluent in English (written & spoken).

Preferred:

• Master’s or PhD in CS or related field.

• Experience training and fine-tuning LLMs for business outcomes.

• Knowledge of information retrieval (indexing, querying, ranking).

• Strong background in data structures, algorithms, and optimization.

Apply via email: send your CV to contact@kwise.io