Applied Research / Machine Learning Engineer

Profile

Applied Research / Machine Learning Engineer','200029862','!*!The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.  As an experienced Software Engineer, your mission is to help lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit. And best of all, you’ll be able to harness massive amounts of brainpower through our global network of technologists from around the world. The CTO applied research / machine learning engineer is primarily responsible for developing innovative prototypes to demonstrate the business potentials of upcoming technologies. To be successful in this role, one most important requirement is the innate curiosity for what's new, and a strong ability to learn new technologies quickly. The individual must possess deep, hands-on technical skills and be familiar with a wide range of technical themes and development practices. He or she will contribute as technical subject matter experts to the various Applied Research projects (some outlined below), out-of-box thinking and team work is also critical for this role.Incumbents will work within CTO Research labs unlocking the potential of technical trends including:1. Distributed Ledgers and Block Chains. 2. Game Theory and Quantum Computing. 3. Optimizations in Large Scale Distributed Calculations/computing, edge computing & federated learning; IOT. 4. Robotic Process Automation and automation of ML pipelines from ideation to production. 5. Scientific computing, underlying storage patterns - how to persist and use highly dimensional data - GPU/CUDA SQL for instance. 6. Medical science techniques for data privacy, telehealth, VR, precision medicine, massive data rendering. 7. Advanced AI tools and techniques.','!*!This role requires a wide variety of strengths and capabilities, including:  BS/BA degree or equivalent experience Expertise in application, data and infrastructure architecture disciplinesAdvanced knowledge of architecture, design across all systemsProficiency in multiple modern programming languages including Java, C , R and/or PythonKnowledge of industry wide technology trends and best practices Keen understanding of financial control and budget management  Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture MSc in Computer Science, Machine Learning, Statistics or a related quantitative field and a proven track record of research publicationsExcellent coding and software development skills including Algorithm development experience with Java, C , or other programming language, as well as with R, MATLAB, Wolfram, Python or similar scripting languagesExperience with computation science, algorithms, mathematical & computational models, simulations, parallel/distributed computing, GPU/FPGA; theoretical computer science, quantum, computational complexity. Strong knowledge of Machine Learning foundations and techniques covering machine learning frameworks & platforms e.g. Scikit-learn, TensorFlow, Keras, Mxnet, Rapids, Chainer as example. Knowledge of mainstream Deep Learning architectures (MLP, CNN, RNN, LSTM, GAN etc.) When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech organizations. In our global technology centers, our team of 50,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $11B annual investment in technology enables us to hire people to create innovative solutions that are transforming the financial services industry.    At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity.  We encourage professional growth and career development, and offer competitive benefits and compensation.  If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.    ','JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.','Applications Development','US-NJ-Jersey City-NOC 5 / 02969','','CORPORATE SECTOR','Full-time','Standard','Day Job','','JPMorgan Chase','JPMorgan Chase','Applied Research / Machine Learning Engineer

Company info

JPMorgan Chase & Co,
Website : http://www.jpmorganchase.com