Amazon-posted 5 days ago
$84,000 - $185,000/Yr
Full-time • Senior
Boston, MA
5,001-10,000 employees

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. 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.

  • 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
  • Master's degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
  • 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.)
  • Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
  • For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits
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