Senior Language Engineer, Artificial General Intelligence - Data Services

Amazon

Sunnyvale, CA

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Bootstrap, Business Operations, Calendar Management, Communication Skills, Computational Linguistics, Corporate Policies, Cross-Functional, Customer Support/Service, Data Analysis, Data Collection, Data Modeling, Data Quality, Data Science, Data Sets, Federal Laws and Regulations, Intelligence Agencies, MATLAB, Machine Learning, Performance Modeling, Product Engineering, Prototyping, Python Programming/Scripting Language, Query Analysis, R Programming Language, SQL (Structured Query Language), Scripting (Scripting Languages), Set Goals, Software Engineering, Source Code/Configuration Management (SCM), State Laws and Regulations, Team Lead/Manager, Test Tools, Training Data Sets, Training/Teaching, Writing Skills
LOCATION
Sunnyvale, CA
POSTED
2 days ago

Description

The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Senior Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.

You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.

Key job responsibilities

  • Define and lead the organization's data creation strategies for our science partners

  • Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables

  • Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches

  • Analyze and extract insights from large amounts of data

  • Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language

  • Use modeling tools to bootstrap or test new AI functionalities

  • Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models

About the team

Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.

Basic Qualifications

  • Master's degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)

Preferred Qualifications

  • PhD in Computational Linguistics (or equivalent field with computational emphasis)

  • 5+ years of experience creating AI datasets for complex and quickly evolving requirements using a range of approaches: model-based, human in the loop, synthetic/code-based, etc.

  • 5+ years of experience working with speech, text, and multimodal data, including in multiple languages

  • 5+ years of experience defining and leading cross-team data creation strategies for long-term science customers

  • 5+ years of experience with Machine Learning training and evaluations, specifically regarding the types of data needeed for different training types

  • Familiarity with technical concepts such as APIs, knowledge of version control and agile development procedures, familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

USA, CA, Sunnyvale - 107,400.00 - 185,000.00 USD annually

USA, MA, Boston - 93,400.00 - 160,000.00 USD annually

USA, WA, BELLEVUE - 93,400.00 - 160,000.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles