Senior Language Engineer

Job Description : We are seeking a Sr Language Engineer to drive efficiencies and innovation in its efforts to deliver a seamless, fluent, and multi-lingual experience for AI-assisted shopping.

This is an opportunity to join the high-performing team driving shopping initiatives. The team’s objective is to make it easy for customers worldwide to find and discover the best products, meet their unique needs with product research, providing comparisons and recommendations, answering specific product questions, and more.

This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams.

This role requires strong analytical skills and language technology experience to help the team measure, analyze and solve complex problems.

You should have experience in automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards.

You should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams.

Key job responsibilities :

• Design and lead editorial data production / collection by defining scope with internal customer teams
• Define clear editorial workflows (SOPs) to meet or exceed the quality bar
• Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality
• Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
• Produce, process and manipulate different types of language data, analyze, and provide efficient solutions
• Automate operations and perform data analysis using scripting language (e.g. Python)
• Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience and define metrics, guidelines, and workflows to continue doing so
• Establish processes and mechanisms to onboard and train editors on an ongoing basis.
• Handle work prioritization and deliver based on business priorities.
• Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly.

BASIC QUALIFICATIONS

• Bachelor’s or Master’s Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.
• Strong Experience in Natural Language Processing, Machine Learning, or Large Language Models
• Proficient in Python.
• Knowledge of Regex, SQL, MS Excel, Git.
• Ability to navigate a Unix terminal and use common command line tools.
• Familiarity with annotation tools and workflows.
• Excellent communication and strong organizational skills with a keen eye for details.
• Comfortable working in a fast-paced, collaborative, and dynamic work environment.
• Willingness to support several projects at one time and to accept reprioritization as necessary.

PREFERRED QUALIFICATIONS

• Master’s Degree or PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related technical field.
• Proficient in French, German, Hindi, Italian, Spanish, or Japanese.
• Experience in data science and quantitative research.
• Experience with language annotation and other forms of data markup.
• Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search.
• Experience with AWS services (S3, Sagemaker, ML language services, etc.).
• Knowledge of user experience concepts and methods.
• Familiarity with online retail (e-commerce).
11 days ago