Machine Learning Engineer- Services

Opendoor

Quick summary

Work type
On-site
Location
Seattle, WA
Posted
43 days ago

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Salary context

How this pay compares to similar roles

Similar $223k
$162k most similar roles pay here $276k

This listing doesn't post a salary. Most similar roles pay $195,000–$250,250.

Based on 240 similar postings.

Employer

About Opendoor

Opendoor is a digital real estate marketplace that buys and sells homes directly to consumers, simplifying the home selling and buying experience through instant offers and transparent pricing. Industry: Real Estate Technology & iBuying

Opendoor currently has 36 open roles on FindRole.

Listed pay typically runs $156,800–$335,000 across 8 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer- Services

As a senior software engineer on the mission-critical services and data infrastructure team in Seattle, you will collaborate with cross-functional teams to design, implement, and evolve core pricing systems. Your daily tasks include writing high-performance SQL queries over large PostgreSQL datasets, architecting APIs, and improving integrations within Opendoor’s marketplace platform. You’ll also lead technical reviews, mentor junior engineers, and drive reliability improvements across the pricing stack. The role requires 5+ years of backend engineering experience with a focus on Go or Python, deep proficiency in SQL and relational databases, and expertise in designing APIs for microservices environments. Familiarity with distributed systems concepts and event-streaming technologies like Kafka is beneficial, as well as experience with gRPC and caching solutions such as Redis.

What you'll do

  • Own the design, implementation, and evolution of core pricing services.
  • Design high-performance SQL queries over large PostgreSQL datasets.
  • Architect and enhance APIs integrating with Opendoor’s marketplace platform.
  • Lead technical reviews and establish best practices for code quality and testing.
  • Partner with data science to deploy pricing models in production pipelines.
  • Drive improvements in reliability, latency, and scalability of pricing systems.

What we're looking for

  • 5+ years of professional backend software engineering experience
  • Significant experience building and operating production systems in Go or Python
  • Deep proficiency with SQL and relational databases, especially PostgreSQL
  • Strong track record designing, building, and evolving APIs in microservices environments
  • Experience leading technical projects from design through rollout and support
  • Ability to communicate complex technical decisions clearly to various stakeholders
  • Expertise in distributed systems concepts including scalability, consistency, resiliency, and monitoring

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