Applied Scientist , Alexa Mobile Intelligence Team

Sunnyvale, California, USA

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Job summary
The Alexa Mobile organization owns the Alexa Mobile app and the experience for its millions of customers. Our vision is to make Alexa always available to customers on-the-go, giving them a virtual personal assistant they use on a daily basis. The Alexa mobile app understand a customer’s habits, preferences and delivers a personalized experience to help them manage their day by providing relevant information as customers want it. We believe voice and mobile devices is the most natural user interface for interacting with technology across many domains; we are inventing the future.

As an Applied Scientist, you will help build a production scaled personalized recommendation and lead the team to build Machine Learning (ML) and Deep Learning (DL) models to help derive business value and new insights through the adoption of Artificial Intelligence (AI). The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.


Key job responsibilities
  • Expertise in the areas of data science, machine learning and statistics.
  • Translate business needs into advanced analytics and machine learning models and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.
  • Work closely with the engineers to architect and develop the best technical design and approach.
  • Being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
  • Use Deep Learning frameworks like Tensorflow, and Keras to build models.
  • Analyze, extract, normalize, and label relevant data.
  • Work with Engineers to help our customers operationalize models after they are built.









About the team
Alexa Mobile Intelligence team are motivated to make Alexa mobile app being the best intelligent assistant and providing personalized relevant features and content by understanding customers' habits, preferences, hence will reach high growth and retention on Alexa mobile end points.

Basic Qualifications


  • Master's in Computer Science, Mathematics, Machine Learning, or related quantitative field
  • Experience programming in Java, C++, Python or related language

  • Phd or Masters in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
  • 5+ years of industry experience in predictive modeling, data science and analysis
  • Experience with using data visualization tools, handling terabyte size datasets and working with GPUs to develop models
  • Experience with Python, R, Scala, SQL and one of the advanced Deep Learning, RL or AI libs like TensorFlow and PyTorch
  • Experience leading teams developing ML and DL models and working with Product and partner teams.
  • Experience with writing and speaking about complex technical concepts to broad audiences in a simplified format.
  • Recognized technical expertise includes but not limited to publications, editorial and advisory boards, conference/symposium presentations, patents, professional peer recognition and strategically important developments, innovations, or technical contributions
  • Demonstrated experience in mentoring and coaching interns, and junior technical contributors.

Preferred Qualifications

  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Track record of diving into data to discover hidden patterns
  • Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
  • Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
  • Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Good skills with programming languages, such as Java, python or C/C++

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age



Amazon is committed to a diverse and inclusive workplace. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Tags: AWS C++ Computer Science Data Mining Data visualization Deep Learning EC2 Keras Machine Learning Mathematics ML models PhD Predictive modeling Python PyTorch R Redshift Research Scala SQL Statistics TensorFlow

Perks/benefits: Career development Conferences

Region: North America
Country: United States
Job stats:  9  1  0

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