Sr Software Engineer (ML)

TL;DR

Sr Software Engineer (ML): Design and evolve machine learning systems for a real-time pricing engine with an accent on automated training pipelines, ETL processes, and scalable model delivery. Focus on optimizing model integrity, reducing training-serving skew, and translating commercial needs into technical ML solutions.

Location: Remote (USA / New York)

Salary: $110,000 – $300,000

Company

Travel fintech platform leveraging advanced machine learning to bring transparency and flexibility to millions of travelers globally.

What you will do

• Design and implement automated, reusable training pipelines to ensure consistent and scalable model delivery.
• Build ETL pipelines with thoughtful feature engineering to provide reliable inputs for pricing models.
• Develop and deploy real-time ML pricing solutions to production, owning the entire lifecycle from model to live environment.
• Monitor production systems for latency, drift, and training-serving skew to maintain model integrity.
• Execute champion-challenger tests on pricing levers to respond to shifting market conditions.
• Collaborate with data scientists and product stakeholders to translate business needs into technical solutions.

Requirements

• 5+ years of experience in production ML systems or large-scale pricing platforms.
• Proficiency in Python, Scala, and SQL applied to production systems.
• Experience in data modelling, software architecture, and distributed data processing frameworks at scale.
• Deep understanding of ML algorithms for pricing, demand forecasting, or similar commercial domains.
• Must be based in the USA (indicated by US-specific benefits such as 401k and US health insurance).

Culture & Benefits

• Competitive salary and pre-IPO equity packages.
• Unlimited PTO and Carrot Cash travel stipend.
• Work-from-home stipend and on-demand access to co-working spaces via FlexDesk.
• 100% employer-paid Medical, Dental, and Vision coverage.
• Access to 401k plan, HRA, and DCA/FSA.
• Entrepreneurial culture with open communication and high-impact, small teams.