American Express Careers
AI Machine Learning Engineer - PTF-NY
American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.
We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.
Because we believe that the best way to back our customers is to back our people.
The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.
American Express is embarking on an exciting transformation driven by an energetic newly formed Machine Learning team of high performers that is looking to build the next generation platform for democratizing Machine Learning in Amex on the Cloud. This group is nimble and creative with the power to shape our technology and product roadmap.
As an Engineer in our Machine Learning team you will be responsible for creating and delivering technical solutions and capabilities on the platform to support our entire ML-driven application portfolio across the enterprise. You will be challenged with identifying innovative ideas and proof of concepts to deliver against the existing and future needs of our customers. As an Engineer the successful candidate will play a key role in the understanding of product owner strategy and collaborate with peers and technology partners to translate complex user stories into successful product releases. If you have the talent and desire to deliver innovative products and services at a rapid pace, serving our customers seamlessly across through cognitive solutions, this would be the right fit for you!
Your responsibilities would include:
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 the Enterprise
Leading your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.
Architecting, estimating and planning technical solutions to problems
Implement new, 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 and Time Series predictions
Actively participate in team and company-wide architecture and engineering discussions and forums
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
To be successful in the role, the following experience is required:
At least 1-3 years of progressive experience with a broad set of tech stacks, hands-on Machine Learning and Big Data is mandatory as part of the job
Deep expertise in building scalable Machine Learning powered applications
Experience with production grade applications preferred. Ideally with an application that
leverages Machine Learning to power its decisions
Highly motivated, individual contributor who can manage relationships in a cross-functional
environment. Proven track record of working with multiple stakeholders
Experience in creating and managing capabilities and solutions for:
Familiarity and experience with Cloud is a plus
Quantitative and Software Development Skills
Master of Science or higher in a quantitative discipline, e.g. Data Science, Statistics, Mathematics, Computer Sciences or similar Bachelor of Science with 5 years of experience in a highly quantitative position
High proficiency with the following technologies:
Git and GitHub
Natural Language Processing
Advanced time series forecasting
Linear Algebra & Spectral Methods
Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
Performing hands-on software and strategy development, typically spending most of the time actually writing code, doing proof of concepts and conducting code reviews
Developing deep understanding of integrations with other systems and platforms within the supported domains.
Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets
Quickly generate and updating prototypes from concept to testing while soliciting feedback
Finalizing prototypes into functional ML components and deploy on our cloud platform
Embrace emerging standards and promoting best practices
Demonstrate self-reliance to achieve goals collaboratively
Must be curious, hardworking and detail-oriented, and motivated by complex analytical
Thought leadership and innovative thinking
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 11, 2018, 7:36:44 PM