DescriptionYou 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.Qualifications:
A Bachelor's degree in Computer Science, Computer Engineering, or another technical discipline.
Minimum of 7 years’ experience in the design and construction of large-scale machine learning (ML) systems.
A minimum of 5 years’ experience in Python algorithm development, particularly in ML.
At least 3 years’ experience in leading engineering and applied science teams.
Minimum of 2 years’ experience in the entire ML development lifecycle, including the use of open-source AI/ML frameworks and public cloud environments.
Knowledgeable in Continuous Integration/Continuous Deployment (CI/CD) tools such as Jenkins, and version control systems like Git, Bitbucket, etc.
Experienced with Docker containers and related services like AWS ECS, AWS EKS, Kubernetes
Broad curiosity about emerging technologies, regularly engaging with new technological developments, reading scientific papers, and experimenting with these technologies.
Proven leadership capabilities with the ability to influence and motivate teams across various organizational levels.
Duties:
Lead a diverse team of developers, AI engineers, and applied scientists on numerous projects, including building large-scale distributed training clusters, improving training pipelines for hardware/software stacks, or deploying large language models (LLMs) on GPU instances for real-time applications in our public cloud infrastructure.
Collaborate closely with infrastructure and research groups to build and implement a comprehensive framework for generative AI applications within the enterprise
Actively participate in hands-on experimentation with the latest advancements in technology as part of the Research and Development team.
QualificationsSalary Range: $170,000.00 to $255,000.00 annually bonus equity (if applicable) benefitsThe 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.Job: TechnologiesPrimary Location: US-Arizona-PhoenixOther Locations: US-Florida-Sunrise, US-Georgia-Atlanta, US-California-Palo Alto, US-Utah-Sandy, US-New York-New YorkSchedule Full-timeReq ID: 24001067
