Job 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 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. Design 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. Masters or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
2+ years experience in computational linguistics or language data processing or AI data creation
Experience with language data annotation systems and other forms of data markup
Proficient with scripting languages, such as Python Experience working with speech, text, and multimodal data in multiple languages
Excellent communication, strong organizational skills and very detailed oriented
Comfortable working in a fast paced, highly collaborative, dynamic work environment PhD in Computational Linguistics (or equivalent field with computational emphasis)
Expertise in bootstrapping AI data collections for quickly evolving requirements
Extensive experience working with speech, text, and multimodal data in multiple languages Experience in data creation for complex agentic workflows
Practical experience with Machine Learning
Familiarity with technical concepts such as APIs
Practical knowledge of version control and agile development
Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
Willingness to support several projects at one time, and to accept reprioritization as necessary
Able to think creatively and possess strong analytical and problem solving skills for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Data analysis
Version control
Analytical
Machine learning
Data collection
Data processing
Scheduling
MATLAB
SQL
Python