Senior Member of Technical Staff (GUI Agent / Algorithms)

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an AI Algorithm Research Engineer, you will research and develop intelligent GUI agents capable of autonomously executing complex, multi-step tasks across mobile and desktop interfaces. You will design and optimize algorithms for screen understanding, UI element recognition, action planning, interaction execution, and error recovery, enabling agents to reliably complete real-world tasks such as online ordering, booking, and form completion across unfamiliar applications and environments with minimal human intervention.

Key Responsibilities

• Train and iterate agent models (SFT, preference optimisation, RL with verifiable rewards) for multi-step GUI task completion, and decide which of those levers is worth pulling next.
• Attack the failure modes that matter: action errors, constraint violations, long-horizon drift, and the inability to recover once something has gone wrong — including the compounding failures that only appear at step twenty.
• Build and improve the training environment — simulated business flows, task initial states, action execution and state verification — so that learning signal is real rather than assumed.
• Design task-level and trace-level metrics that track what users experience, and use them to decide what to work on next rather than what is easiest to measure.
• Diagnose from traces: read a failed trajectory, find the actual first wrong step, and turn that into a data or objective change.
• Work with the data team on collection quality, and with the product team on what a usable agent looks like on an in-car screen.

How you will stand out

• Strong academic background in Machine Learning, Computer Science, or a related field, with hands-on experience in multimodal AI, large language models, or AI agent research.
• Experience in developing and training AI agents, particularly GUI automation, computer-use agents, multimodal interaction, or autonomous task execution.
• Strong understanding of multimodal models, visual grounding, UI understanding, action planning, and agent decision-making.
• Hands-on experience designing and implementing end-to-end model training pipelines, including data preparation, training, experimentation, and performance evaluation.
• Demonstrated research or engineering achievements through publications, particularly in GUI agents, computer-use systems, visual grounding, or agent benchmarks, as well as practical agent systems, open-source contributions, or competition results.
• Strong problem-solving and analytical skills, with the ability to evaluate agent performance, identify failure patterns, and improve task completion reliability through systematic experimentation.

Nice to have:

• Experience deploying AI agents on resource-constrained devices or in latency-sensitive environments.
• Familiarity with simulation environments, reward modeling, and automated verification for multi-step task execution.
• Experience with visual grounding, UI element recognition, screen understanding, or action-space design.
• Experience developing agents for long-horizon tasks, including multi-step planning, error recovery, and execution under dynamic or unfamiliar environments.

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.