Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading language technology.

Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Natural Language Understanding (NLU), Dialog management, conversational AI and Machine Learning (ML).

As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.

We are hiring primarily in Conversational AI / Dialog System Development areas: NLP, NLU, Dialog Management, NLG.

Key job responsibilities
Research and development of algorithms in Natural Language Processing and Generation
Collaborate with scientists, engineers, product managers, and stakeholders to design and implement innovative ML solutions to deploy in production new NLP-driven experiences and improve the existing stack
Partner with engineering teams to transfer viable solutions into products
Report results in a scientifically rigorous way
Publish and present your work at internal and external scientific venues in the fields of ML/NLP
Hire and mentor junior colleagues
A day in the life

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About The Team

The Science team at AWS AI builds world-class NLP services that handle billions of requests per day. We are adamant about continuously learning state-of-the-art NLP/ML technology and exploring creative ways to delight our customers. In our daily job we are exposed to large scale NLP needs and we apply rigorous research methods to respond to them with efficient and scalable innovative solutions.

At AWS AI, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world’s leading cloud companies and you’ll be able to publish your work in top tier conferences and journals.

We are building a brand new team in Barcelona to help develop a new NLP service for AWS. You will have the opportunity to conduct novel research and influence the science roadmap and direction of the team. Come join this greenfield opportunity!




Basic Qualifications
Completed PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics or Physics with specialization in natural language processing (NLP)
Familiarity with programming languages such as Python, Java, C/C++, or similar
Experience with machine learning/deep learning frameworks (PyTorch, MXNet, TensorFlow, or similar) and related libraries
Several years of relevant experience in industry developing NLP-based software products or equivalent years working in academia as a Professor/Associate Professor
Publication record at top conferences and in associated journals
Proven experience hiring and/or mentoring more junior colleagues
Preferred Qualifications
Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering
Experience in building natural language processing and natural language understanding (e.g., commercial products or government projects)
Proven Machine Learning background and hands-on experience with neural deep learning methods
5+ years experience developing software products in an industry environment

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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