AI Research Engineer
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Job Description
AI Research Engineer conducting independent ML research and contributing to the team's core assets. Involves designing complex experiments and contributing high-quality code for the organization's projects.
Responsibilities:
- Independently own and execute specific research tasks or sub-projects.
- Design and implement complex experiments to test new hypotheses.
- Analyze and interpret results to draw clear conclusions.
- Contribute high-quality, reusable code to the team's repository.
- Actively contribute to improving the internal benchmark by identifying data gaps and proposing new evaluation metrics.
Requirements:
- PhD or Master's degree in Computer Science, Computational Linguistics, Machine Learning, or a related quantitative field.
- 3+ years of hands-on experience in applied NLP research or ML engineering.
- Ability to operationalize subjective concepts into concrete guidelines.
- Proven track record of translating complex technical requirements for non-technical stakeholders.
- Deep theoretical and practical understanding of Transformer architectures, Attention mechanisms, Positional Embeddings, and Tokenization strategies.
- Extensive experience with the post-training stack: Supervised Fine-Tuning and Preference Alignment techniques.
- Experience with noisy label handling and identifying semantic bias in large-scale datasets.
- Understanding Function/Tool Calling, ReAct frameworks, and evaluating "trajectory" quality.
- Experience designing LLM-as-a-Judge pipelines and reference-free metrics.
Benefits:
- Equal Opportunity Employer
- Inclusive workplace culture
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