2 дня назад
Senior AI / ML Data Engineer (AI)
184 500 - 258 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI / ML Data Engineer (AI/ML data engineering): Building reliable data pipelines, high-quality datasets, and experimentation and evaluation foundations for Layla’s conversational travel-planning and booking experiences with an accent on data quality, observability, and production AI/ML support. Focus on designing scalable pipelines, enabling trustworthy model evaluation, and turning ambiguous product questions into dependable self-serve data.
Location: Seattle or Austin, United States
Salary: $184,500–$258,000 total cash annually, with potential pay up to $295,000 based on sustained performance.
Company
is a global travel technology company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.
What you will do
- Design, build, and operate scalable data pipelines for Layla and Bellboy AI-native trip-planning and booking experiences.
- Own data quality, reliability, observability, and documentation for critical production datasets.
- Build data foundations for experimentation, product analytics, and AI/ML model evaluation.
- Support production AI/ML systems through feature and data availability, evaluation datasets, and monitoring.
- Partner with Product, Analytics, and ML/engineering teams to create dependable self-serve data solutions.
- Promote testing, documentation, reusable engineering patterns, and mentor other engineers.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent professional experience.
- 8+ years of relevant professional experience.
- Advanced SQL, data modeling, and production data pipeline engineering experience.
- Proficiency with Python for data engineering.
- Experience owning data quality, reliability, and observability for critical production datasets.
- Familiarity with production AI/ML systems, feature or data pipelines, evaluation datasets, experimentation, and responsible AI/ML use.
Nice to have
- Experience with dbt, BigQuery or Snowflake, and Looker or Metabase.
- Experience building experimentation frameworks and product analytics for consumer products with paid acquisition.
- Knowledge of attribution modeling and its limitations.
- Experience with generative AI systems, AI-assisted development tools, travel, marketplaces, e-commerce, or building data functions from scratch.
Culture & Benefits
- Startup-paced Layla team within ’s Product organization.
- Medical, dental, and vision coverage, paid time off, and an Employee Assistance Program.
- Wellness and travel reimbursement, travel discounts, and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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