Senior ML Engineer, Real-Time AI Pricing (Remote)

Hopper Inc.; Barcelona, Madrid, Valencia; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pre-IPO equity

Private medical & dental coverage

Life & accident insurance

Generous parental leave

FlexDesk co-working access

Work-from-home stipend

Unlimited PTO

Gym membership stipend

Home office expenses stipend

Carrot Cash travel stipend

Entrepreneurial culture

Open communication with leadership

Small, dynamic teams for impact

Descripción de la vacante

Hopper is seeking an experienced Software Engineer for the Fintech Foundation team to design, build, and evolve ML systems powering Hopper's pricing engine. You will work with data science, engineering, and product teams to deliver scalable pricing solutions that impact revenue and customer experience across a broad partner portfolio.

You will design automated training pipelines, build robust ETL inputs, and deploy real-time ML pricing in production, ensuring low latency and reliable performance

Formación

• 5+ years of experience in a production ML or pricing-focused role.
• Proficiency in Python, Scala, and SQL applied to production systems.
• Experience with data modeling, software architecture, and distributed data processing.

Responsabilidades

• Design and implement automated training pipelines for pricing models.
• Build ETL pipelines with feature engineering for pricing inputs.
• Develop and deploy real-time ML pricing solutions to production.
• Monitor latency, drift, and training-serving skew in production systems.
• Run champion-challenger tests on pricing and product construction levers.
• Collaborate with data science, engineering, and product teams to translate business needs into technical solutions.

Conocimientos

Python

Scala

SQL

ML pipelines

Pricing models

Distributed data

Descripción del empleo

Hopper is seeking an experienced Software Engineer for the Fintech Foundation team to design, build, and evolve ML systems powering Hopper's pricing engine. You will work with data science, engineering, and product teams to deliver scalable pricing solutions that impact revenue and customer experience across a broad partner portfolio.

You will design automated training pipelines, build robust ETL inputs, and deploy real-time ML pricing in production, ensuring low latency and reliable performance