NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence
The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.
The candidate must excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production. A strong passion for machine learning and a commitment to independent learning, researching, and experimenting with new innovations in the field are essential. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn, and high motivation.
Job Responsibilities
* Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participating in our knowledge-sharing community.
* Develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks such as NLP, speech recognition and analytics, time-series predictions, or recommendation systems.
* Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
* Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.
Required Qualifications, Capabilities, and Skills
* Solid background in NLP or speech recognition and analytics, personalization/recommendation, and hands-on experience with solid understanding of machine learning and deep learning methods.
* PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with reasonable industry experience, or an MS with significant industry or research experience in the field.
* Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
* Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
* Experience with big data and scalable model training, along with solid written and spoken communication skills to effectively communicate technical concepts and results to both technical and business audiences.
* Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
* Curious, hardworking, detail-oriented, and motivated by complex analytical problems.
Preferred Qualifications, Capabilities, and Skills
* Strong background in Mathematics and Statistics, familiarity with the financial services industry, and experience with continuous integration models and unit test development.
* Knowledge in search/ranking, Reinforcement Learning, or Meta Learning.
* Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code.
* Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal.
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