American Express

Backend Engineer - Machine Learning

Phoenix, AZ New York, NY
USD 85k - 150k
C++ Rust GCP Spark Python Git Docker Kubernetes Machine Learning
Description

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 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.

Job Description:

We are looking for a back-end engineer with a commitment to producing high quality software and systems in support of ML model development life-cycle processes.  As part of the machine learning platform team at American Express, you would be creating software and systems in support of the following activities:

  • Performing data processing in preparation for modeling tasks.
  • Performing model training.
  • Performing model interpretability tasks.
  • Batch and real-time model inference.
  • Monitoring model performance.

Responsibilities:

  •      You will be part of the Machine Learning platform team to design, code, train, test, deploy, and iterate on large scale machine learning systems
  • More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Amex
  • Help data scientists train and interpret their models using significant compute at scale”
  • Works with large data sets to build products and tools that enhance colleague and customer experiences
  • You will work with Engineering, Analytics, and Data Science practitioners to strive for greater functionality in technology ecosystem
  • You will help craft the direction of machine learning and artificial intelligence at Amex

Required Qualifications:

  • Have a solid foundation of computer science fundamentals.
  • Proficiency in Python language and ecosystem.
  • Automated testing experience – unit and performance testing.
  • Enjoy digging into distributed system details – particularly Dask and Spark.
  • Comfortable with Git and automated CI/CD tools.
  • Don’t mind putting on your product that when requirements refinement is needed.

Preferred Qualifications:

  • Containers (Docker) and container orchestration (Kubernetes).
  • Machine learning.
  • Accelerated compute.
  • One of the system languages (C/C++, Rust)
  • Public cloud platforms especially Google cloud

Salary Range: $85,000.00 to $150,000.00 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.

American Express
American Express
Debit Cards Finance Financial Services Payments Travel

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