Research Engineer

Targun is an applied-AI company on a mission to eliminate repetitive, high-stakesoperational bottlenecks. From logistics coordination to ERP automation, we designintelligent systems that turn fragmented data into decisive action—empowering teamsto move faster, cut waste, and build at the pace of ambition.

We believe the next decade belongs to organizations that pair deep industry knowledgewith advanced AI research. At Targun, developers and domain experts collaborate to pushlarge-language-model capabilities beyond generic chat and into rigorous, real-world workflows.Our vision is simple : every worker armed with an AI partner that makes shipping freight,running a factory, or launching a new product as frictionless as sending a text.

The Role

As a Research Engineer you'll build and scale theinfrastructure that powers our Reinforcement Learning from Code Execution Feedback (RLCEF)pipeline. Your work will enable Targun's large-language models to learn by completing millionsof real-world coding tasks—turning raw execution feedback into smarter, more reliable AI.

Your Mission

Build a robust, distributed platform that executes, analyzes, and stores feedback fromlarge volumes of code runs—laying the technical foundation for Targun's next-generationfine-tuning efforts.

Responsibilities

• Design and implement a container-based code-execution service with strong sandboxing guarantees.
• Integrate static analyzers, parsers, and linters to capture rich signals from each run.
• Develop data pipelines for large-scale processing, fault tolerance, and performance optimization.
• Collaborate with ML engineers to surface execution feedback for RLCEF fine-tuning.
• Instrument, monitor, and tune the platform for reliability and throughput.

Skills & Experience

Hiring Process

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