Senior Applied Scientist - Alexa Internet

Job ID: 1154485 | Alexa Internet

DESCRIPTION

Alexa.com is seeking a creative, entrepreneurial, and customer-obsessed Senior Applied Scientist who can apply cutting edge research and state-of-the-art machine learning and deep learning algorithms to the development of scalable AI marketing analytics solutions. The ideal candidate has a broad and deep background in machine learning and deep learning, is passionate about science, is highly driven to learn and deploy new technologies, thrives in a fast-paced environment that requires the development of solutions to ambiguous and challenging problems, and enjoys collaborating with both technical and nontechnical peers.

At Alexa.com, we solve ML problems in natural language processing and understanding, search relevance and ranking, and digital behavior measurement and prediction. As part of our AI team, you will work as a hands-on practitioner and technical leader in multiple areas such as statistical modeling, NLP and NLU, dimensionality reduction, and deep learning. You will formulate and test hypotheses, evaluate and implement machine learning and deep learning techniques, and deliver new production services that will be used by millions of users worldwide.

We have been gathering and analyzing data from online sources for more than 20 years, with terabytes of archived crawl data, a data-contributing panel of millions of users in countries around the world, and millions of unique website visitors each month. This position provides the qualified candidate with an opportunity to join our smart, motivated team and to directly impact our business.
Alexa.com is a subsidiary of Amazon.com serving millions of users worldwide and building the next generation of marketing analytics services. Our mission is to be most invaluable and trusted source of ground-breaking insights into digital behavior that customers use to win their audience and accelerate growth. For more information, visit www.alexa.com.

Core Responsibilities
· Set the technical direction for scientific projects and mentor Applied Scientists
· Contribute to strategic planning and project management for a variety of technical initiatives
· Develop novel modeling techniques for machine learning, deep learning and natural language understanding
· Write high quality code and contribute to the codebase of scientific applications
· Develop prototypes and collaborate with stakeholders to assess the feasibility of selected approaches
· Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds
· Document methodologies and increase institutional knowledge based on experimental results and operationalized solutions

BASIC QUALIFICATIONS

· PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
· 3+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· Proficiency with a major programming language appropriate for data science such as Python, Scala, Java, or C++

PREFERRED QUALIFICATIONS

· Expertise with a broad suite of machine learning, deep learning and natural language understanding techniques, libraries and software
· Proficiency with a major programming language appropriate for data science such as Python, Scala, Java, or C++
· A keen scientific mind with a proven ability to think critically and invent
· Excellent oral and written communication skills and a strong discipline for documenting methodologies and applications
· A track record of thought leadership and contributions that have advanced the field
· Peer-reviewed publications in top ML, DL, NLP conferences or journals
· Expertise in deep learning platforms such as TensorFlow, PyTorch or MXNet
· Experience with modern methods for parallelized processing of distributed datasets such as Spark, Hadoop, Map-reduce
· Experience with relational databases, Linux, and AWS solutions such as EC2, S3, Elastic MapReduce, and ElasticSearch
· Experience working with web data such as HTML documents, browse clickstreams, and server logs
· Experience in conversational AI technologies