As a Product Manager—Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.

As a Software Engineer II at JPMorgan Chase, within Corporate Sector, AI2 Team you will partner closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow.

The team encompasses a variety of disciplines from data governance and data strategy / partnerships to reporting, business intelligence, data science, and machine learning; and we collaborate closely with our technology, product, and design partners to deliver practical and impactful solutions.

Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.

Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. PhD or Masters in a related field (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.

Strong publication record in Natural Language Processing, Machine Learning, Deep Learning or Reinforcement Learning at major conferences or journals JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Lead Software Engineer at JPMorgan Chase within the Commerical & Investment Bank - Digital Channels team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Morgan's institutional bank, Onyx applies blockchain, data science, machine learning, and cyber-security into the products we create to develop and re-architect the way that money, information, and assets move around the world.

Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.

Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, stats models) Deep hands-on experience developing machine learning models and statistical learning models : Random Forest, Support Vector Machine and regression models.

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank under Payments technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

In this role, you will be part of a multi-year transformation into the fin-tech future of institutional banking incorporating emerging technologies such as block chain, data science, machine learning and cyber-security into the payments products we create.

In ISDA at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all of Corporate technology and the supported Corporate Functions.

Experience on model development with statistical analysis and machine learning techniques such as Regressions, decision trees, Gradient Boosting, and Neural Networks. Build machine learning models that assess authentication confidence and predict fraudulent events risk.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.