You Lead the Way. We’ve Got Your Back

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join #TeamAmex and let’s lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

Architect, code and ship software that makes us an essential part of our customers’ digital lives.

Who are the Technology Community Office (TCO)?

The mission of the Technology Community Office is to ensure American Express is positioned as a first-class technology company with a peerless engineering culture. This sees the office encouraging and curating participation in communities both internal and external fostering a sense of belonging among technologists. The office believes strongly in the power of community, not only unlocking the aggregate benefits of collaboration at scale, but the individual benefits that come from being part of a larger whole.

Some of the work of the TCO includes fostering innovation, encouraging participation in open-source communities, helping internal Engineering Guilds flourish, sponsoring community efforts such as conferences, foundations, and software organizations, empowering developers though documentation and content, reaching out to external technologists as ambassadors of American Express, building recognition programs, and gathering community sentiment feedback. Ultimately, the work of the TCO is to encourage and maximize the human side of technology, anywhere people are coming together to do their best work.

Who are You?

You are passionate about community – Community work isn’t for everyone, but for you, playing “chief organizer” and assembling teams that are greater than the sum of the parts provides great satisfaction. You bring people together, setting a vision and inspiring people to work toward audacious goals, you connect people to purpose. You’re optimistic about the future of Amex and you’re tenacious in working to make it real.

You lift others – Your satisfaction comes from winning as a team. You build common tools and documentation to empower others to be their best. You mentor other developers and help them succeed. You understand the power of recognition and frequently dole out authentic praise. Colleagues do better work and enjoy doing it on a team with you.

You lead without authority – You’re not afraid to sit at the head of the table, and rarely remember your official title. You produce content that is consumed widely, your ideas are discussed and adopted at increasing orbits of influence. You enjoy speaking to large groups and lending your voice in group settings. People have changed the way they think and do work because they spent time with you. Others look to you for understanding and advice.

You are professionally curious – You bring clarity to the confusing and you thrive on exploration. You seek data to drive your decisions and are ready to learn. You have expertise but it does not constrain you, willing to put forth your best efforts as a “jack of all trades”. You seek alternate perspectives and use them to make connections that others have overlooked.

Senior Machine Learning Engineer

If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to combine your Data Science and Engineering skills to craft the future of American Express. You will be part of the Research and Development team, experimenting and working on innovative projects that demonstrate sophisticated analytical techniques to drive innovation and disruption in the enterprise. If you have the skills, creativity, and desire to join us, this is the right fit for you!

Responsibilities:

• More than 70%+ of the time spent on coding and/or hands-on experimentation and implementation of novel solutions to challenging problems
• Combine Data Science and Engineering skills to address very exciting problems that may have a substantial impact on our technology solutions
• Not only crafting ML model prototypes, but also putting them into production
• Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow
• Be part of a dynamic team and play a visible role in adopting novel technologies that change the way we operate
• Implement highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
• Connect with global organizations, consortium and participate on technology and science conferences
• Prepare technology roadmaps and scientific publications

Minimum Qualifications:

• Master or PhD degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or related fields.
• Strong analytical skills and programming skills, in production environment.
• Overall 5+ years of Technology proven experience with 2-3 Years of relevant engineering experience
• SQL/ NoSQL
• Python, and/or Java
• Big Data
• Once of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon etc.
• RESTAPI and services
• 2+ years of experience in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with multi-functional teams in a dynamic environment

Preferred Qualifications:

• Deep expertise in building scalable Machine Learning powered applications
• 3+ years hands-on experience with the following technologies:
• SQL/ NoSQL
• Python, and/or Java
• Big Data
• One of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon, RESTAPI and services, etc.
• Expert in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems.
• Direct involvement in working with large volumes of data and building, deploying and measuring in production environment
• Experience with data pipeline and workflow management tools: Apache NiFi, Informatica, Talend, DataStage, Alteryx, etc. is a plus
• Hands-on experience with GCP, AWS, Hadoop Ecosystem, Spark is a plus.
• Hands-on experience with relational SQL and NoSQL databases: Redshift, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, DataStaX, etc. is a plus

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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