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Form of workLab Summary: As an NLP Intern you will primarily focus on building the NLU platform for Bixby by working with Machine Learning Experts, Lab Leaders and Linguistic Experts, brainstorming novel ideas, researching, building POCs and proposing solutions that cater to the broader business needs. You will work with a small and nimble team to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers to provide insights that will be beneficial to Bixby consumers.
Position Summary: As an NLP Intern you will primarily focus on building the NLU platform for Bixby by working with Machine Learning Experts, Lab Leaders and Linguistic Experts, brainstorming novel ideas, researching, building POCs and proposing solutions that cater to the broader business needs. You will work with a small and nimble team to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers to provide insights that will be beneficial to Bixby consumers.
Position Responsibilities:
- As an NLP intern, you will research, prototype, develop, deploy and scale innovative ML/NLP solutions in collaboration with Linguistic Experts and Product Management teams
- You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques
- Set up processes to monitor and continually improve efficiency and performance of models
- Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation
- Program primarily in Python using efficient algorithms and software design patterns
Required Skills:
- Pursuing a Master's degree or Ph.D. in relevant field
- Relevant experience in Natural Language Understanding, Intent Classification and Slot Filling, Dialogue Management, Question Answering, Text Classification, Information Retrieval, or Knowledge Extraction
- Experience with building end-to-end systems based on machine learning or deep learning methods
- Strong understanding of computer science fundamentals such as algorithms, data structures and run-time analysis
- Proficiency in Python
- Experience in tuning prompts for Large Language Models
- Experience in training Large Language Models (pretraining, fine-tuning, parameter efficient training)
- Experience in serving and optimizing models latency and memory footprint through techniques like quantization or custom kernel application
- Experience with deep learning architectures such as LSTMs, Transformers, Tree-LSTMs, Graph Neural Networks, etc.
- Experience with cutting-edge deep learning-based NLP models such as ELMo, BERT, OpenAI GPT-2/3, BART, BigBird, ERNIE, etc.
- Experience with deep learning NLP toolkits such as huggingface, spacy, etc.
- Experience with deep learning frameworks like TensorFlow, PyTorch, JAX and libraries like Hugging Face transformers, Deep Graph Library, DGL-KE, etc.
- Able to solve real-world problems using cutting-edge ideas and independent research
- A willingness to learn and remain agile in a dynamic environment
- Analytical and problem-solving skills for design, creation and testing of custom software
- Extensive experience with software prototyping or designing experimental software
- Adept at adapting academic ideas and theoretical algorithms into a production system
