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AI/ML Research Engineer, LLM Post-Training & Evaluation
Summary by AIEngineer.careers
AI/ML Research Engineer, LLM Post-Training & Evaluation is a LLM Evaluation Engineer role (full-time). with Reputed Company. in REMOTE, REMOTE, US. Imported listing (source: us.remotejobs.dedyn.io). Apply on the employer's site (us.remotejobs.dedyn.io).
Imported listing (source: us.remotejobs.dedyn.io) · Apply on us.remotejobs.dedyn.io
REMOTE · REMOTE · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from us.remotejobs.dedyn.io
This role focuses on the post-training and evaluation phases of Large Language Models (LLMs). The engineer will build and optimize technical foundations to improve model performance and reliability. It involves deep research into training methodologies and systematic evaluation frameworks.
Responsibilities
- Develop and optimize LLM post-training pipelines
- Design and implement robust evaluation systems for model improvement
- Conduct research on techniques to enhance model capabilities
- Collaborate with cross-functional teams to integrate findings into production models
Requirements
- Strong background in Machine Learning and AI research
- Experience with LLM training and post-training processes
- Proficiency in building evaluation metrics and systems
- Ability to work remotely within the USA
Nice to Have
- Publications in top-tier AI/ML conferences
- Experience with specific LLM architectures or frameworks
- Background in reinforcement learning from human feedback (RLHF)
Reputed Company
Edmonton · CA · 552+ employees
Reputed is a full-service digital marketing agency specializing in online reputation management. Its related offerings include social media marketing, listing distribution, SEO, and web design and development.
