Machine Learning Applied Scientist

Job description

DESCRIPTION

Amazon's Multi Lingual Ad Technologies (M-LAT) team builds a platform and tools to help our diverse group of advertisers quickly create multi-lingual ad campaigns and store fronts that enable them to reach a global audience online and offline Amazon websites. Our vision is to enable advertisers to create and launch global advertising campaigns in the time it takes a barista to make a coffee! This system will cover entire spectrum of Amazon's advertising products and offerings.
In this role, you will build solutions around our multi-channel and multi-lingual advertising offerings for our clients that connects technology, data, machine learning, human translators and marketing assets to deliver the best in class experience to our advertisers. You will use ideas from every facet of Applied Science including Natural Language Processing, Speech to Text analysis, Machine Learning and artificial intelligence.

The charter of this team is to eliminate all barriers that prevent Amazon customers from advertising world wide. We are innovating in this space by building and rolling out new capabilities to allow advertisers to seamlessly launch campaigns across the globe in multiple markets. One of the key challenges that we are currently working on is to enable human independent translation workflow's for advertiser content, which is extremely difficult to automate through machine translations. The challenge is to rollout solutions which can be scaled without sacrificing the translation quality (critical to Advertiser content). We are also rolling out solutions for our clients to cover video translations and the ability to scale seamlessly between machine and human translations based on detailed analysis of Advertiser content.

You will LOVE this opportunity if you are:
· Highly analytical: You solve problems backed with verifiable data. You focus on driving processes, tools, and statistical methods that support rational decision-making.
· Technically fearless: You aren't satisfied by performing ‘as expected' and push the limits past conventional boundaries.
· Team obsessed: You help grow your team members to achieve outstanding results. You foster a creative atmosphere to let scientists and engineers innovate, while holding them accountable for making smart decisions and delivering results.
· Ambitious: You're ambitious, yet humble. You recognize that there's always opportunity for improvement - using introspection, feedback from teammates and peers to "raise the bar" for your team.
· Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and non-obvious solutions.

Desired profile

BASIC QUALIFICATIONS

· M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Applied Mathematics, Information Retrieval, or related discipline
· Breadth and depth knowledge in machine learning algorithms and best practices.
· At least 5 years of hands-on experience in building Machine Learning solutions to solve real-world problems.
· At least 3 years of experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
· At least 3 years of experience with, at least, one modern programming language such as Java, Python, Scala, C++