Senior ML Data Linguist

About the position

As a Machine Learning Data Linguist at ServiceNow, you will play a pivotal role in advancing Generative AI through computational linguistics and data labeling. This position involves creating, annotating, and analyzing synthetic data to enhance the capabilities of AI systems. You will collaborate with a diverse team of linguists, data scientists, and engineers to improve natural language understanding and generation, contributing to innovative AI projects that shape the future of technology.

Responsibilities

• Develop and assess synthetic data for Generative AI projects.
• Annotate and label large volumes of textual data to create high-quality training datasets for Generative AI models.
• Clean and preprocess raw text data, ensuring it is appropriately formatted for training and evaluation purposes.
• Develop and refine language models to improve the fluency, coherence, and naturalness of generated text.
• Apply computational linguistics techniques to enhance the understanding of semantics, sentiment, and context within text.
• Analyze and improve the grammar, syntax, and sentence structure of generated text to ensure it adheres to linguistic rules and conventions.
• Define and implement evaluation metrics to measure the quality and performance of Generative AI models.
• Collaborate closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate on the AI models.
• Stay up to date with the latest advancements in Generative AI and computational linguistics, applying new techniques and methodologies to improve model performance.

Requirements

• PhD in Linguistics preferred.
• Experience teaching at university level.
• Strong understanding of linguistic principles, grammar, syntax, and semantics, with the ability to apply this knowledge to improve language generation.
• Knowledge of core programming principles and Python programming skills.
• Familiarity with popular NLP libraries and frameworks.
• Proficient in data annotation and labeling techniques, with experience working on large-scale text datasets.
• Knowledge of more than one language and experience in localization.
• Strong analytical and problem-solving skills, with the ability to analyze and interpret data to drive improvements in AI models.
• Excellent written and verbal communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to work effectively in a collaborative team environment.

Nice-to-haves

• Experience in natural language processing or similar roles.
• Familiarity with machine learning concepts and practices.

Benefits

• Health plans including flexible spending accounts.
• 401(k) Plan with company match.
• Employee Stock Purchase Plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.