Research Scientist, Language

Found in: Jooble CA O C2 - 2 weeks ago

Toronto ON, Canada Amazon Full time

Amazon's Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that “Sponsored” label you see on Amazon? The Sponsored Products Marketplace team creates and optimizes the systems that match advertiser demand (ads) with page supply (placements) using a combination of data-driven product innovation, machine learning, big data analytics, and low latency/high-volume engineering. The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight all of our customers.
We're looking for an innovative and customer-obsessed Applied Scientist who can help us take our products to the next level of quality and performance by creating state-of-the-art models to improve our ability to optimize performance, forecast the impact of advertiser actions, and enable advertisers to scale through impactful features. We embrace leaders with a startup mentality -- those who have a disruptive yet clear mission and purpose, an unambiguous owner's mindset, and a relentless obsession for delivering amazing products.
As an Applied Scientist on the Scalable Controls team, you will work alongside business leaders, other scientists, and software engineers to deliver rules that algorithmically manage ads using ML, DL, and R techniques. You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models, keeping the models fresh, and ensuring that real-world corner cases are handled correctly. You will lead the science program for our team, providing input to strategic decision making on topics such as program direction/vision, roadmap, and staffing. You solve problems in ways that can be backed up with verifiable data. You help grow your team members to achieve outstanding results. Quality obsessed: You recognize that professional scientists build high quality model development and evaluation frameworks to ensure that their models can provably meet launch criteria, or efficiently iterate in the framework until they do.
• Apply machine learning and analytical techniques to create scalable solutions for business problems
• Work closely with software engineering and product teams across the organization to drive model implementations and new feature creations
• Establish scalable, efficient, automated processes for data analyses, model development, model validation and model implementation
• Research and implement novel machine learning and statistical approaches
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Strong publication record with novel research contributions
- Expertise in working with big-data in map/reduce setting using Spark, EMR, etc.
- Experience with AWS and data-oriented tools such as Sagemaker, ElasticSearch, Airflow, etc.
- Very good programming skills with Scala, Java, or Python
- Experience in online advertising domain (particularly, ad targeting and serving)
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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