Machine Learning Researcher

Kxorin Technology TLO Fixed Term On-site Only 💼 $130,000–$162,000 annually Closed
Posted: Dec 18, 2025 Apply before: Feb 25, 2026
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Basic Job Information

Job Position: Machine Learning Researcher

Published on: Dec 18, 2025

Vacancy: 2

Employment Type: Fixed Term

Experience: 6-9 years

Work Arrangement: On-site Only

Salary: $130,000–$162,000 annually

Notes: This posting is for testing and educational purposes only. Not a real job.

Application Deadline: Feb 25, 2026

Job Category: Computing and ICT

Job Description

Kxorin Technology is seeking experienced Machine Learning Researchers to join our onsite AI innovation lab. In this role, you will conduct advanced research on cutting-edge machine learning algorithms, design experiments, and implement prototypes to explore novel AI approaches. The ideal candidates will be passionate about AI, highly analytical, and able to translate research insights into practical AI solutions.

Key Responsibilities

  • Design, implement, and evaluate novel ML algorithms for AI research projects.

  • Conduct experiments and simulations to validate models.

  • Collaborate with engineering teams to transition research prototypes into production-ready solutions.

  • Publish findings in AI/ML journals and present at conferences.

  • Mentor junior researchers and interns, providing guidance on ML methodology.

  • Maintain documentation of research experiments, datasets, and model performance.

  • Stay up-to-date with the latest developments in AI and ML research.

Requirements & Skills

  • PhD in Machine Learning, AI, Computer Science, or related field.

  • 6-9 years of experience in AI/ML research.

  • Proven record of published research or patents in AI.

  • Strong programming skills in Python, R, or similar languages.

Benefits

  • Access to onsite AI research labs and GPU clusters.

  • Research grants and funding support for innovative projects.

  • Mentorship and professional development programs.

  • Collaborative and intellectually stimulating work environment.

  • Opportunity to contribute to academic publications and conferences.

  • Paid annual leave and standard onsite employment benefits.

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