
AI Research Specialist
Há 2 dias
Transforming AI experiences requires a deep understanding of machine learning and data science.
The ideal candidate will be responsible for developing and evaluating machine learning models, writing production-quality code, and staying current with industry trends.
- Develop and evaluate machine learning models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.
- Write production-quality code and apply debugging best practices to ensure high-quality solutions.
- Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.
- Collaborate cross-functionally to define success metrics and improve AI quality at scale.
- Lead research projects that yield new algorithms, tools, or insights solving open problems.
- Analyze evaluation outputs to identify gaps in coverage, quality, and usability.
- Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.
- Work with large-scale data while championing privacy and compliance.
- Engage with customers and internal teams to identify pain points and drive impactful improvements.
- Stay engaged with the latest research and foster a strong applied science culture. Publishing is encouraged.
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