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Kowork Withus Co., Ltd.

Representative: Jinyoung KimBusiness Registration Number: 522-86-01968Address: 2F, 10, Nonhyeon-ro 76-gil, Gangnam-gu, SeoulOnline Sales Registration Number: 2023-서울용산-1038호Job Information Service Report Number: J1206020200009Trademark Registration Number: 4020210166984Paid Employment Agency Business Registration Number:
2024-3220250-14-5-00017
Personal Information Manager: Dojun LeePartnership Inquiry: master@kowork.krCustomer Service: 02-6951-4108

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Kowork Withus Co., Ltd.

Representative: Jinyoung Kim | Business Registration Number: 522-86-01968

Address: 2F, 10, Nonhyeon-ro 76-gil, Gangnam-gu, Seoul

Online Sales Registration Number: 2023-서울용산-1038호

Job Information Service Report Number: J1206020200009 | Trademark Registration Number: 4020210166984

Paid Employment Agency Business Registration Number: 2024-3220250-14-5-00017

Personal Information Manager: Dojun Lee | Partnership Inquiry: master@kowork.kr | Customer Service: 02-6951-4108

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    [Bone Inc] Machine Learning Engineer

    posting-2739-logo

    니나노컴퍼니

    Job Type

    Full Time

    Job Category

    IT

    Work Model

    On-site

    Working Days

    Mon, Tue, Wed, Thu, Fri

    Work Time

    Salary

    Decision After Interview

    Location

    518 Teheran-ro, Gangnam-gu, Seoul, Republic of Korea

    Job Description

    Role Overview As a Machine Learning Engineer at Bone Inc., you will: 1. Develop ML Pipelines: Design, train, and optimize deep learning and classical ML models for real-world robotics applications. 2. Integrate with Robotics Systems: Work closely with embedded and hardware teams to deploy ML algorithms on edge devices and embedded controllers. 3. Data Processing & Analysis: Create data collection and management processes, ensuring high-quality datasets for model training and continuous improvement. 4. Performance Optimization: Conduct model profiling and optimization to enable real-time inference under tight computational constraints.

    Qualifications

    Qualifications 1. 5+ Years of Experience in Machine Learning, Data Science, or related fields 2. Proficiency in: -Python, C++ -Common frameworks (e.g., PyTorch, TensorFlow) -CI/CD -ML model deployment  3. Strong Communication Skills: Fluency in Korean or English (bilingual is a plus) 4. Self-Motivated & Problem-Solving Mindset 5. Legal Authorization to Work in Korea

    Preferred

    Recommended Skills: 1. Familiarity with ROS, DDS, or other robotics communication frameworks 2. Experience in Computer Vision (object detection/tracking, SLAM, sensor fusion) 3. Knowledge of real-time inference and optimization techniques (e.g., quantization, pruning) Optional Experience: 1.UAV/UGV Systems (e.g., PX4, ArduPilot) 2.Distributed/Cloud-based Training Architectures 3.Advanced Sensor Integration (e.g., LiDAR, thermal, radar) 4.Additional scripting or automation skills (e.g., Bash, Docker, Kubernetes) 5.Professional-Level English Proficiency

    Etc

    Benefits 1. Comprehensive Insurance Coverage 2. Unlimited PTO (Paid Time Off) How to Apply Please send your resume/CV, along with a brief description of your relevant experience, to josh.ryu@bonerobotics.ai We look forward to hearing from you!

    Preferred Visas

    Employment Visa (E1~E7)

    Residence (F2)

    Job Seeking Visa (D10)

    Company Photos

    니나노컴퍼니

    Industry

    M. Professional, Scientific, and Technical Services

    Contact

    01091568551

    E-mail

    hr@bonerobotics.ai

    Website

    https://www.bonerobotics.ai/

    Company Location

    경북 김천시 혁신로 315-11 경북 김천시 혁신로 315-11, 2층201호(율곡동,헥스테크노피아)

    This job posting must not be copied, distributed, or modified without permission from 코워크위더스(주). Any unauthorized use-including for non-recruitment purposes-is strictly prohibited.

    Job Type

    Full Time

    Job Category

    IT

    Work Model

    On-site

    Working Days

    Mon, Tue, Wed, Thu, Fri

    Work Time

    Salary

    Decision After Interview

    Location

    518 Teheran-ro, Gangnam-gu, Seoul, Republic of Korea