Applied AI ML Associate - Machine Learning Scientist Machine Learning for Technology
Applied AI ML Associate - Machine Learning Scientist Machine Learning for Technology
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Join the elite Applied Innovation of AI (AI2 team at JP Morgan Chase strategically located within the CTO office.
As a Machine Learning Specialist within the JPMC businesses you will be responsible for addressing businesscritical priorities using innovative machine learning techniques. You will work closely with stakeholders to execute projects that support the growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks such as data mining text understanding anomaly detection and generative AI. You will collaborate with business technologists and control partners to deploy solutions into production. Additionally your responsibilities will include researching new methods developing models and contributing to reusable code and components.
Job Responsibilities:
- Research and explore new machine learning methods through independent study attending conferences and experimentation.
- Develop stateoftheart machine learning models to solve realworld problems in Cybersecurity Software and Technology Infrastructure.
- Collaborate with partner teams to deploy solutions into production.
- Drive firmwide initiatives by developing largescale frameworks to accelerate the application of machine learning models.
- Contribute to reusable code and components shared internally and externally.
Required Qualifications Capabilities and Skills:
- PhD in a quantitative discipline (e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization or Data Science) or an MS with industry or research experience.
- Handson experience and solid understanding of machine learning and deep learning methods.
- Extensive experience with machine learning and deep learning toolkits (e.g. TensorFlow PyTorch NumPy ScikitLearn Pandas).
- Scientific thinking and the ability to invent.
- Ability to design experiments and training frameworks and evaluate metrics for model performance aligned with business goals.
- Experience with big data and scalable model training.
- Solid written and spoken communication to effectively communicate technical concepts and results.
- Curious hardworking detailoriented and motivated by complex analytical problems.
- Ability to work both independently and in collaborative team environments.
Preferred Qualifications Capabilities and Skills:
- Experience with A/B experimentation and data/metricdriven product development.
- Experience with cloudnative deployment in a largescale distributed environment.
- Knowledge of large language models (LLMs) and accompanying toolsets (e.g. Langchain Vector databases opensource Hugging Face Models).
- Knowledge in Reinforcement Learning or Meta Learning.
- Published research in areas of Machine Learning Deep Learning or Reinforcement Learning at a major conference or journal.
- Ability to develop and debug productionquality code.
- Familiarity with continuous integration models and unit test development.
Required Experience:
IC
Employment Type
Full-Time
