Join a pioneering science team dedicated to transforming the way people access news using Generative AI and Machine Learning technologies.
We are seeking passionate individuals who thrive in dynamic environments and are eager to shape the future of personalized news delivery.
As a member of our innovative team, you will play a pivotal role in crafting immersive news experiences across various devices.
Your contributions will directly impact millions of users worldwide, from delivering up-to-the-minute updates to providing in-depth analysis on specific topics.
As part of the Alexa News team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Alexa News even better for our customers.
To help a growing organization quickly deliver more efficient features to Alexa News customers, Alexa News organization is building a team specialized in generative AI content curation, forecasting and recommendations.
The team will also develop forecasts on key business dimensions and recommendations on performance and efficiency opportunities across our global software environment.
As a member of the team, you will apply your deep knowledge of machine learning to concrete problems that have broad cross-organizational, global, and technology impact.
Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them for customers, where we continuously monitor and evaluate.
You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and / or architectural strategy has not yet been defined.
You must be equally comfortable digging in to business requirements as you are drilling into designs with development teams and developing ready-to-use learning models.
You consistently bring strong, data-driven business and technical judgment to decisions.
You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.
Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term.
You are empowered to bring new technologies and deep learning algorithms to your solutions. If you crave a sense of ownership, this is the place to be.
We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content and pushing the envelope of streaming video quality.
You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way news is enjoyed worldwide.
A day in the life
As an Applied Scientist on the News team, you'll work everyday with other scientists on the team and also with News engineers who will integrate with your solutions.
You'll participate in product management discussions to help stakeholders understand which problems science can help solve.
You will also work with other science teams in Alexa org, learning innovations happening in their space and bringing any relevant solutions to your own team.
In addition to implementing your science solutions, you'll also be researching and keeping up to date with industry advancements and advocating for adoption of newer methodologies, as and when necessary.
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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