ML Tech Lead

Founding Machine Learning Engineer, Tech Lead (AI Web Agents)

We are pioneering the future of intelligent automation.

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 the Ho Chi Minh City Engineering Hub, you wont just be another employeeyoull be a foundational team member in a fast-growing startup led by engineering veterans from Meta, Amazon, and Silicon Valleys 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.

This is a rare opportunity to solve hard engineering problems, grow with a global-minded startup, and build products that are fundamentally changing how work gets done.

Youll work on some of the most challenging and exciting systems in agentic AI today:

• Experimental AI Prototypes: Design and build novel prototypes that explore new, groundbreaking use cases for our AI agents.
• Real-Time Agent Infrastructure: Develop the high-throughput, low-latency infrastructure that powers autonomous AI agent decision-making.
• Stealth Engineering: Engineer sophisticated anti-bot and stealth techniques to operate reliably across hundreds of thousands of diverse web domains.
• Massive-Scale Browser Automation: Create systems capable of scaling and managing thousands of browsers with ultra-low latency and high performance.
  

As the founding Tech Lead, you will be the team&aposs technical authority, responsible for turning our ambitious vision into reality.

• Define the Technical Vision: You will architect our long-term technical strategy and create a year-long roadmap, ensuring every project ladders up to our core mission.
• Lead Complex Engineering Efforts: Drive the design, development, and scaling of sophisticated ML systems powered by deep neural networks. You&aposll be the go-to person for tackling the toughest performance, scalability, and technical debt challenges.
• Innovate and Explore: Understand industry-wide trends and champion the exploration of new technologies (especially in the LLM and Agentic AI space) to keep our platform ahead of the curve.
• Collaborate and Influence: Partner closely with our US-based engineering teams and organizational leaders. Use data and deep technical insights to communicate complex systems, influence staffing for new opportunities, and drive cross-functional solutions.
• Mentor and Elevate: As a founding member, you will help set the standard for technical excellence, improving the performance and skills of the entire team.
  

You are a seasoned technical leader with a passion for solving real-world business problems through machine learning. You are excited by the prospect of building something new and have the experience to guide a team through complex technical terrain.

Minimum Qualifications:

• A combined 8+ years of professional programming experience, or 4+ years of experience with a PhD.
• Proven experience setting the technical direction for a team to predictably and systematically improve live, production-scale ML systems.
• Hands-on expertise with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• A track record of successfully planning year-long roadmaps and driving large, team-wide engineering projects to completion.
• Exceptional ability to use data and analysis to explain technical problems and work across functions to drive solutions.
• Bachelor&aposs degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Fluency in both written and spoken English, enabling effective collaboration with our US-based teams.

Preferred Qualifications (The Ideal Candidate will have):

• A Master&aposs degree or PhD in Computer Science or a related technical field.
• Hands-on experience with the training and fine-tuning of Large Language Models (LLMs) to achieve clear business outcomes.
• A strong understanding of Information Retrieval concepts (indexing, querying, ranking), especially as they apply to systems like Retrieval-Augmented Generation (RAG).
• Deep knowledge of advanced data structures, algorithms, graph theory, and optimization techniques.

Youll work on some of the most challenging and exciting systems in agentic AI today:

• Experimental AI Prototypes: Design and build novel prototypes that explore new, groundbreaking use cases for our AI agents.
• Real-Time Agent Infrastructure: Develop the high-throughput, low-latency infrastructure that powers autonomous AI agent decision-making.
• Stealth Engineering: Engineer sophisticated anti-bot and stealth techniques to operate reliably across hundreds of thousands of diverse web domains.
• Massive-Scale Browser Automation: Create systems capable of scaling and managing thousands of browsers with ultra-low latency and high performance.