Staff Research Engineer, MRS AI
Tasks
- Build and optimize ML solutions for multimodal understanding
- Build evaluation infrastructure and benchmark suites
- Create evaluation metrics and guide model selection and deployment
- Design experimentation frameworks for model evaluation
- Develop AI infrastructure for language and graph learning systems
- Drive data optimization with reweighting sampling denoising augmentation
- Implement privacy by design and responsible AI practices
- Lead recommendation system model design and implementation
- Mentor engineers on ML system design and recommendation architectures
- Partner with research and product teams to deliver product impact
- Shape technical roadmap and engineering strategy
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Alignment techniques | B testing | Benchmarking | By Design | CNN | Data Augmentation | Data Processing | Data Processing Pipelines | Denoising | Distributed Systems | Entity recognition | Evaluation metrics | Feature Flagging | Fine Tuning | GCN | GNN | Graph Neural Networks | LLM Fine-tuning | Language Generation | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Translation | Multilingual NLP | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | Privacy by Design | Processing pipelines | Random Walk | Responsible AI | Retrieval-Augmented Generation | Reweighting | Sampling | Semantic Matching | Semantic Parsing | Text Classification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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