JPMorganChase is looking to solve complex tasks including natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems by implementing and applying sophisticated machine learning methods.
Requirements
- Experience with at least one of the following: personalization, recommendation, speech recognition, or NLP
- Designing machine learning experiments and frameworks including feature extraction, data augmentation, synthetic data generation, model pre-training, fine-tuning, performance evaluation, robustness testing, interpretability analysis and visualization
- Big data and scalable model training
- Personalized contents, recommender systems, search, and ranking
- A/B testing experimentation and data-driven product development
- Cloud-native deployment in a large scale distributed environment
- Experience with machine learning and deep learning toolkits including NLTK, spaCy, Hugging Face transformers, Scikit-Learn, Rasa NLU, PyTorch, Docker, Numpy, Pandas, Spark, MongoDB, Scala
Responsibilities
- Implement and apply sophisticated machine learning methods to a wide variety of complex tasks
- Research and explore new machine learning methods
- Develop state-of-the art machine learning models to solve real-world problems
- Apply machine learning models to tasks such as text classification, named entity recognition, topic modeling, machine translation, document retrieval, question answering, information retrieval, conversation agents, summarization, document clustering, text generation, optical character recognition, speech recognition, time-series predictions and/or recommendation systems
- Collaborate with multiple partner teams to deploy solutions into production
- Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models
- Develop and debug production-quality code
Other
- Master's degree in Applied Statistics, Mathematics, Operations Research, Optimization, Data Science, or related field of study plus 3 years of experience
- PhD in Applied Statistics, Mathematics, Operations Research, Optimization, Data Science, or related field of study plus 1 year of experience
- Full-Time position
- Travel not mentioned
- Visa requirements not mentioned
