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 Team Amex 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. American Express 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 of #TeamAmex.
The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.
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 Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to make your mark on technology and life at American Express. American Express is embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing Machine Learning in Amex on the Cloud. You will be part of an energetic Data Science/Machine Learning team, to drive strategic planning and a cohesive set of technology and machine learning solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences. This position provides an opportunity to solve very interesting problems that directly and greatly impact millions of individuals worldwide. If you have the talent and desire to deliver innovative and intelligent products as well as services at a rapid pace, serving our colleagues and customers seamlessly across through cognitive solutions, this would be the right fit for you!
Responsibilities:
- More than 70%+ of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Machine Learning in Amex
- Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide
- Not only crafting ML model prototypes, but also putting them into production in scale
- Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow
- Work with a dynamic team and play a visible role in implementing ground breaking technology and machine learning solutions with other industry-leading partners
- Works with large, complex data sets to build products and tools that enhance colleague and customer experiences
- Implement highly scalable platform components and tools using 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
- Work closely with Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems
- You will work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem
- You will help craft the direction of machine learning and artificial intelligence at AmEx
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.
- 5+ years hands-on experience with the following technologies:
- 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
- Working knowledge 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.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
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.
US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.
If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
Jobs from our Partners
Oracle Cloud Fusion BI Publisher Engineer – ETS Engineer III
Staff Software Engineer II (Hybrid)
Other Jobs from American Express
Senior Engineer- Java, Kotlin, GO - Framework Architecture
Server-Side Engineer - Mobile and New Feature Development
Portfolio Manager (Chief Technology Office)
Senior Engineer - Java / Kotlin / Go - Framework Architecture
Engineer - Java - Personalization
Java Engineer
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
50,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 232 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
Cancel anytime / Money-back guarantee