Senior Staff Engineer - Enterprise Personalization

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. 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 

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.

This is an opportunity to combine A.I./Machine Learning and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide. This position provides an   opportunity   to   solve   very interesting   problems, you   will   have   significant leadership and influence on the evolution of our Enterprise Personalization products.
There are hundreds of opportunities to make your mark on technology and life at American Express.
 

This role within American Express Technology (AET) DDAIML Organization, will report into the Principal Engineer of Augmented Intelligence

Responsibilities:

• Drive Enterprise Personalization vision, strategy, and execution across Amex.
• Closely partner with the Enterprise Customer Intelligence Engineering teams,
•  Enterprise Machine Learning Platform teams, as well as the AI Services & Governance team to drive the core technical decisions across the Augmented Intelligence space to enable an optimized CX and DX experience.
• Lead a highly technical R&D team and play a visible role in implementing innovative technology and A.I./Machine Learning solutions with other industry-leading partners
•  Combine A.I./Machine Learning and Engineering skills to implement highly scalable engineering solutions to solve real-world problems in the Augmented Intelligence space.
• Closely follow research and open source developments/publications and apply them.
• Help craft the direction of machine learning and artificial intelligence at AmEx 

Qualifications:

•  Master’s degree in computer science, Computer Engineering, EE, EEE,
• Statistics, Math, Industrial Engineering, Operational Research, Physics,
• Financial Engineering, or related STEM fields. PhD degree preferred.
• 10+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• Experience building and delivering sophisticated platforms that use various machine learning algorithms or technologies and are able to scale optimally.
• Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc.).
• Hands-on Engineering experience in AdTech, martech, AI/ML techstack with deep understanding on Model Development Lifecycle.
• Hands-on Experience with most of the following open-source solutions:

o   Orchestrate: Airflow, Kubeflow Pipelines, ML Run

o   Container: Docker, Kubernetes, Mesos + Marathon

o   Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow

o   Observability: Prometheus, Grafana, Elasticsearch

• Development:

o   Programming Language: Java, Scala, Python, Julia

o   Middle Ware: Kafka, MQ, Rabbit MQ etc.

o   Machine Learning: XGBoost, MLlib

o   Feature Store: Hopsworks, Feast, or other purposed built Feature Store

o   Model Format: PMML, ONNX

•  Hands-on Experience with following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus:

o   Amazon Kinesis / GCP PubSub

o   Apache Flink

o   Apache Kafka

o   Apache Kylin

o   Apache NiFi

o   Apache Samza

o   Apache Spark

o   Apache Storm

o   Hadoop

o   Hive

o   Zeppelin/ Jupyter

• Strong team leadership and talent development attitude
• Excellent verbal and written communications skills.

Salary Range: $170,000.00 to $255,000.00 annually + bonus + equity (if applicable) + 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.

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