Senior Staff Software Engineer, Host Pricing & Settings
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Host Pricing & Settings based in the United States.
This role sits at the core of a high-impact platform that powers pricing intelligence and decisioning systems used by millions of hosts worldwide. You will help shape how pricing models move from research to production, ensuring consistency, scalability, and trust across ML-driven recommendations. The environment is highly technical and deeply collaborative, bringing together backend engineers, data scientists, and ML engineers to build unified infrastructure. You will define and evolve the systems that connect feature stores, model training, inference, and evaluation. Your work will directly influence how hosts optimize earnings and how pricing intelligence is delivered at global scale. This is a senior individual contributor role with strong architectural ownership and hands-on engineering expectations. The focus is on building durable, high-scale ML serving foundations that accelerate experimentation and production deployment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Host Pricing & Settings based in the United States.
This role sits at the core of a high-impact platform that powers pricing intelligence and decisioning systems used by millions of hosts worldwide. You will help shape how pricing models move from research to production, ensuring consistency, scalability, and trust across ML-driven recommendations. The environment is highly technical and deeply collaborative, bringing together backend engineers, data scientists, and ML engineers to build unified infrastructure. You will define and evolve the systems that connect feature stores, model training, inference, and evaluation. Your work will directly influence how hosts optimize earnings and how pricing intelligence is delivered at global scale. This is a senior individual contributor role with strong architectural ownership and hands-on engineering expectations. The focus is on building durable, high-scale ML serving foundations that accelerate experimentation and production deployment.
Accountabilities:
- Define and lead the technical architecture for the end-to-end ML lifecycle across pricing systems, including modeling, serving, inference, and API design.
- Build and evolve unified ML serving infrastructure that standardizes feature management, model deployment, and inference consistency across teams.
- Design and implement systems for online/offline feature consistency, model versioning, schema management, and backfill capabilities for large-scale evaluation.
- Develop and optimize feature store architectures and data pipelines to ensure reliable, scalable, and reusable ML inputs.
- Architect evaluation and backtesting infrastructure that enables rapid simulation of production behavior over historical datasets.
- Establish clear technical contracts between modeling, ML engineering, and backend teams to enable independent yet aligned development.
- Contribute hands-on code across backend services, feature pipelines, and serving systems while mentoring engineers through design and implementation challenges.
- 12+ years of experience in backend, platform, or infrastructure engineering, with significant exposure to large-scale ML or data-intensive systems.
- Strong programming skills in languages such as Java, Kotlin, Scala, and/or Python, with hands-on production experience.
- Deep understanding of ML system design, including feature stores, model serving, training/inference consistency, and model versioning strategies.
- Experience building and maintaining high-scale batch and streaming data systems using technologies such as Spark, Airflow, Kafka, or equivalents.
- Proven ability to design robust APIs, data contracts, and distributed systems for multi-tenant, high-traffic environments.
- Experience driving cross-functional technical initiatives spanning ML, data platforms, and backend engineering teams.
- Strong communication and leadership skills, with the ability to influence architecture and align multiple stakeholders.
- Competitive compensation with equity components
- Remote-first flexibility within eligible U.S. states
- Comprehensive health, dental, and vision insurance coverage
- Retirement savings plan with employer contributions
- Paid time off and flexible vacation policies
- Parental leave and family support programs
- Access to learning and development resources and engineering growth programs
- Opportunity to work on large-scale ML systems impacting global pricing intelligence.