Fulltime NLP Engineer openings in Seattle, United States on September 14, 2022

AI/ML – NL Platform Engineer, Siri and Language Technologies at Apple

Location: Seattle

Summary Posted: Jul 13, 2022 Role Number:200378919 Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Natural Language team at Apple. Key Qualifications
• Experience developing in Python and in a compiled language (C++ / C# / Java).
• Strong understanding of algorithms and software design
• Experience working on CI/CD pipelines using job scheduling tools such as TeamCity or Jenkins
• Strong communication skills to work well with cross-functional engineering teams
• Ability to work in a fast-paced environment with rapidly changing priorities
• Proven ability to quickly learn and modify large, existing code base
• Experience with NLP or search engine is a plus
• Experience building model release or validation pipelines is a plus
• Experience with on-device development in Obj-C / Swift is a plus
Description The goal of the Siri Natural Language team is to take Siri to the next level of intelligence and accuracy in natural language understanding. You will design and implement low latency Siri NLU on-device. You should be passionate about taking machine learning model inference algorithms into production. Excellent communication skills will be required to coordinate work across multiple teams to resolve issues. Education & Experience Master’s degree in Computer Science, or Bachelor’s degree with 3+ years experience Additional Requirements
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Applied Scientist – NLU at Amazon

Location: Seattle

Description

At Amazon we strive to be earth’s most customer centric company and is a foundational component to making this happen. Are you curious about new platforms and technologies and have a desire to deliver world-class customer service? Are you excited by the idea of owning a problem and innovating on behalf of customers? Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?

The Digital, Device & Alexa Support – Science & Analytics team is seeking an Applied (NLU) to develop cutting-edge machine learning and NLP solutions to understand customer issues and better provide customer service. You will be responsible for researching and implementing innovative solutions that help Amazon provide the best possible customer service experience. We are looking for individuals with a passion for learning, researching, and deploying new technologies in a highly collaborative environment. We like to move fast, experiment, iterate and scale quickly, while thoughtfully balancing speed and quality.

If you have experience with two or more of the following…
• Research and implementation of multi-turn task-oriented dialogue systems
• Natural Language Understanding / Spoken Language Understanding
• Information Retrieval, Question Answering, Semantic Representation
• Zero-shot or Few-shot Learning
• Crowdsourced NLU annotation best practices
• Reinforcement Learning (preferably in an NLP application)
• Computational Linguistics
• Large scale text classification

… then we want to hear from you!

Responsibilities
• Drive collaborative research and creative problem solving
• Apply scientific concepts to real-world business problems
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Collaborate with engineering teams to design and implement software solutions for science problems
• Constructively critique peer research and mentor junior s and engineers

Basic Qualifications
• M.S. or Ph.D. in Machine Learning/NLP, Statistics, Computer Science or a similar field
• Experience with , R, Matlab or a similar programming language
• Track record of bringing state-of-the-art techniques into production
• Excellent written and verbal communication skills for both technical and non-technical audiences
• Demonstrated ability to quickly learn and apply new programming languages, tools, frameworks, and state-of-the-art techniques

Preferred Qualifications
• Experience in Natural Language Understanding / Natural Language Processing
• Working knowledge / experience with task oriented dialog systems
• Track record of working with very large and complex real-world sets
• Experience in mining using , ETL, warehouse, etc.
• Comfortable with version control (e.g. git) in a collaborative environment
• Demonstrated research and development best practices in a team setting

Company – Amazon.com Services LLC

Job ID: A1712582
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Sr Machine Learning Scientist at Amazon

Location: Seattle

Job DescriptionDescription
Description

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning, NLP and machine translation techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and got their questions answered? Do you want to help enabling any Amazon associates to aid any Amazon customers no matter what language they speak? At Customer Engagement Technology, we develop peculiar products that help customers solve problems.
Our team leads the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have more than anyone else in the industry.

We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce.

We leverage big data, NLP, ML, and a focus on continuous innovation to create an amazing experience for customers as we scale to meet business growth each year.

If you like to own solving end-to-end business problems with machine learning which would have a direct impact on the bottom line of Amazon’s business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Major responsibilities
• Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
• Design, experiment and evaluate highly innovative models for predictive learning
• Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
• Work closely with business staff to optimize various business operations
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Track general business activity and provide clear, compelling management reporting on a regular basis
• Research and implement novel machine learning and statistical approachesBasic Qualifications
• A PhD in CS Machine Learning/NLP, Statistics, or in a highly quantitative field
• 5+ years of hands-on experience in predictive modeling and large data analysis
• 1+ years of experience using R/SAS and SQL in a Linux/UNIX environment
• 1+ years of experience with Python
• Strong communication and data presentation skills
• Strong problem solving abilityPreferred Qualifications
• Experienced with NLP, NLU, Machine Translation methods and Deep Neural Networks
• 8+ years of industry experience in predictive modeling and large data analysis
• Proven record of delivering results
• Strong skills with Python and Java
• 1+ year distributed programming experienceBasic Qualifications
• A PhD in CS Machine Learning/NLP, Statistics, or in a highly quantitative field
• 5+ years of hands-on experience in predictive modeling and large data analysis
• 1+ years of experience using R/SAS and SQL in a Linux/UNIX environment
• 1+ years of experience with Python
• Strong communication and data presentation skills
• Strong problem solving abilityPreferred Qualifications
• Experienced with NLP, NLU, Machine Translation methods and Deep Neural Networks
• 8+ years of industry experience in predictive modeling and large data analysis
• Proven record of delivering results
• Strong skills with Python and Java
• 1+ year distributed programming experience
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Senior Applied Science Manager, Natural Language Understanding at Amazon

Location: Seattle

Description

Amazon Alexa is looking for a Senior Applied Science Manager to lead the development of next generation spoken and visual understanding systems that will revolutionize the revolutionize the way developers build skills and enable customers to achieve complex and high value goals in their everyday use of Alexa. In this role, you will manage teams of passionate, talented, and inventive scientists, to develop industry-leading Computer Vision (CV), Natural Language Processing (NLP), and Dialog Management, and drive them successfully to production for the benefit of millions of Alexa users. Your mission is to push the envelope for CV, NLP and Dialog Management systems in order to provide the industry-leading, best-possible experience for our customers.

As a Senior Applied Science Manager, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with teams of talented scientists, and fill the ranks by attracting the best scientists in CV, NLP, and Dialog areas, by representing Amazon Alexa at international science conferences. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources.

Basic Qualifications
• Master’s degree in Electrical Engineering, Computer Science, or Mathematics with specialization in specialization in natural language processing, dialog management, natural language generation or machine learning.
• 8+ years of working experience on NLP, Dialog, NLG or machine learning problems and systems in industry and/or academia
• 3+ years of managing experience of scientists
• Knowledge of programming languages such as C/C++, Python, Java or Perl

Preferred Qualifications
• PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in natural language processing, dialog management, natural language generation or machine learning.
• 3+ years experience and proven track record in leading teams for developing natural language processing or dialog management systems (e.g. commercial CV, speech products or government CV or speech projects)
• Solid Machine Learning background and familiar with state-of-the art in CV, NLP and Dialog management.
• Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
• Solid software development experience
• Excellent written and spoken communication skills.

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

Company – Amazon.com Services LLC

Job ID: A1300334
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Machine Learning Engineer – Amazon Comprehend, AWS New AI service at Amazon.com Services, Inc.

Location: Seattle

Desciption

Job summary

Our vision at Amazon Comprehend (https://aws.amazon.com/comprehend) is to simplify Natural Language Processing (NLP), especially, text analysis. We do that by offering capabilities that helps customers find insights and relationships in text using highly available and scalable machine learning. We have just started and there is just so much to do. Are you interested in shaping the future of this field? Come and be part of the Amazon AWS Artificial Intelligence organization!

In this role you will join Amazon Comprehend which is trend setting in NLP and ML field. This is an area that requires solving the hardest engineering challenges in the intersection of machine learning and distributed systems at massive scale. As a Machine Engineer, you will play a key role in innovating in the space of NLP, building compelling features and ML models for the Amazon Comprehend Service. You will be required to collaborate across a team of engineers, scientists and data engineers to design, develop, test, and deploy models and NLP based features.

You will work in a fast-paced environment and do everything from determining priorities and designing features, to re-architecture as necessary, to automated testing, to mentoring others. The best candidates show true end-to-end ownership.

To learn more what we have recently delivered and how customers are using Amazon Comprehend, please refer to various blogs here: https://aws.amazon.com/blogs/machine-learning/category/artificial-intelligence/amazon-comprehend/
Basic Qualifications
• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team
• Industry experience in development and deployment Machine based models to production
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
Preffered Qualifications
• Proficiency with algorithms and packages
• Experience with NLP – information extraction, retrieval and recommendations would be preferred.
• Proficiency with AWS tools including SageMaker, Athena, S3 and Lambda.
• Experience with highly , multi-tenet with clear state-full/state-less boundaries.
• Experience in software lifecycle – communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
• Success delivering products/services in a high-growth environment, exhibiting strong ability to identify and solve ambiguous customer-focused problems.

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.

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 we host annual and ongoing experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

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.

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.
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For Remote Machine Learning Engineer – Amazon Comprehend, AWS New AI service roles, visit Remote Machine Learning Engineer – Amazon Comprehend, AWS New AI service Roles

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