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We are a company providing machine learning platforms and solutions under the motto 'Make AI Accessible'. Lablup strives to solve various problems that arise when sharing scientific and engineering research processes through a standardized platform, and automates all stages of research and service. We develop and service Backend.AI to realize this vision. Backend.AI, a hyperscale AI platform, reduces the difficulties in developing and serving various AI models, from small-scale AI models to large language models.

About Lablup

A Full Stack Software Engineer at Lablup owns and develops Backend.AI FastTrack. Among the components of Backend.AI, FastTrack is the one built to be a traceable, reproducible, and fully automated MLOps platform: it organizes and manages compute sessions as pipelines to guarantee the reproducibility of experiments, and chains multiple tasks together so that everything from model training to deployment runs as a single pipeline. From the training of foundation models in Korea to model serving for enterprise customers, you will build a platform that is put to real use across a wide range of environments, and broaden your technical perspective as you do.

About Full Stack Software Engineer at Lablup

*   Design and implement new Backend.AI FastTrack features across the full stack, from frontend to backend.
    *   You will work on the areas where customer workloads actually run: pipeline execution, per-stage resource allocation, dependency management, and model deployment.
*   Reproduce issues raised by users and enterprise customers, identify the root cause, and fix them.
*   Maintain compatibility across versions as APIs, schemas, and pipeline definitions evolve, and improve the upgrade and migration experience.
*   Distill the needs and constraints that come up repeatedly in the field, and build them into the product's direction.

Key Responsibilities

*   1+ years of professional software development experience, or equivalent experience through internships, open-source contributions, or personal projects
*   Ability to read code and judge for yourself how it behaves and whether it is correct (experience with any particular language or framework is not required)
*   Interest in MLOps, and the ability to learn an unfamiliar domain quickly and make it your own
*   Experience setting your own scope and driving a project through to completion when the requirements were not clearly defined
*   Proficiency in reading and writing technical documentation in English
*   Ability to communicate on technical topics in spoken English

Basic Qualifications

*   Experience using or operating MLOps platforms or pipeline tools
*   Experience with workload scheduling or distributed systems

Preferred Qualifications

*   Fitness stipend
*   Welfare points
*   Lunch meal support
*   Complimentary snacks always available
*   Annual comprehensive or semi-comprehensive health checkup for employee and spouse
*   Opportunities to participate in developer communities and industry events
*   Employee benefits as a certified family-friendly workplace by the Ministry of Gender Equality and Family

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