Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Opendoor's job description. Free.
Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Opendoor's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Opendoor — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Opendoor — free, in seconds.
About the Role
Opendoor’s ML team seeks to automate and refine every decision made in our product. You'll build where you have the most impact and the most fun, working across the ML stack to build models, intelligent services, or platforms that accelerate model learning. You'll work directly with researchers, product, and operations to build automation that scales in the real world. This is a builder role for those who choose hard mode, operating in a process-light, high-trust environment with significant latitude and accountability.
Responsibilities
- Build and train models that real customers and real money depend on — pricing, automation, and decision systems in production
- Work side-by-side with researchers and analysts to turn prototypes into clean, testable, production-ready code and systems
- Own model pipelines end-to-end: data ingestion, training, validation, versioning, deployment, and monitoring
- Design, build, and evolve mission-critical services and APIs that connect to real-world, messy operations
- Build the platform that accelerates the full ML lifecycle: agentic research, automated retraining, experimentation, deployment, monitoring
- Proactively tackle real-world challenges like sparsity, data drift, and model decay in a volatile market
- Use AI tools daily and help push them further than anyone else in the industry
- Lead technical design reviews, mentor teammates, and raise the bar on everything around you
Requirements
- Senior-level or above: deep experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms
- Strong fundamentals in Python; comfortable picking up new ones
- Proficiency with statistics and ability to reason distributionally; has put it to work with real-world monitoring of ML systems
- Expertise with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) and associated tooling (e.g. MLflow, Airflow, Spark, Delta Lake)
- Demonstrated ability to make and communicate design decisions and tradeoffs across stakeholders
- You ship. You pick the boring solution when boring is right and the novel one when it isn't.
- You have high agency. You don't wait for permission or a perfectly scoped ticket.
- You run at unclear problems. Ambiguity is the job, not an obstacle to it.
- You hold a high standard. You measure twice and cut once.
- You think in first principles. You have opinions on architecture, distributed systems, ML lifecycle tradeoffs, and the constraints and tripwires of operating models in a high-stakes environment.
- You default to AI. You've already integrated modern AI tools into your daily workflow.
- You communicate well. You write clear design docs, give useful code reviews, push back on bad ideas without making it personal, and can land a technical tradeoff with a non-technical stakeholder.
- You believe in what we're building. Not hype, conviction.
- You have fun. We stay human when times are hard.
Skills
- Python
- Statistics
- ML lifecycle tooling (e.g. MLflow, Airflow, Spark, Delta Lake)
- AI tools
Location
- Miami
- Toronto
- Seattle
Work Type
- Full-time
Experience Level
- Senior
About the Company
- At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership, giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people — and we're just getting started.