
AI Reliability Expert
1 day ago
As a Machine Learning Engineer - Data Quality Lead, you will play a pivotal role in ensuring the reliability and quality of our Large Language Models.
- Automate pipelines that guarantee data integrity, safety, and relevance for training datasets.
- Run proxy fine-tuning and reward modeling experiments to validate dataset quality.
- Design evaluation frameworks (human + LLM-as-a-judge) to measure consistency and alignment.
- Collaborate with annotation teams to drive scalable, high-quality data workflows.
What we're looking for:
- Strong understanding of LLM training & evaluation (SFT, RLHF, reward models).
- Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.
- Ability to translate model diagnostics into actionable insights.
- Self-starter with a consultative mindset, comfortable working at the intersection of research and client success.
Benefits:
- Work on mission-driven AI projects that push the boundaries of model reliability.
- Shape data pipelines that directly influence next-generation AI systems.
- Join a fast-scaling AI-first team with global impact.
At the forefront of AI, where data quality meets model excellence, let's explore opportunities together.
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