Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer, Agentic AI (Fintech): Architecting and implementing distributed systems to support the full machine learning lifecycle with an accent on model inference, data retrieval, and cloud-based infrastructure. Focus on building robust backend services and AI-driven capabilities for core financial platforms while ensuring scalability and performance.
Location: Must be based in Bellevue, WA, with in-person attendance expected at least three days per week.
Salary: $117,749–$195,000 per year
Company
Robinhood is a financial services company on a mission to democratize finance for all.
What you will do
- Architect and implement distributed, cloud-based systems for the full machine learning lifecycle.
- Develop and maintain robust backend services and APIs using Python or Go.
- Optimize compute, storage, and data retrieval systems using relational, NoSQL, and vector databases.
- Collaborate with cross-functional teams to deliver AI-driven capabilities for market data, trading, and security.
- Leverage cloud infrastructure and container orchestration to manage large-scale compute environments.
- Design and maintain automated CI/CD workflows and model serving/observability systems.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- Must be based in Bellevue, WA with ability to work in-office 3 days per week.
- Proven experience with Kubernetes, Spark, and Machine Learning.
- Proficiency in Python and database management.
- Experience with AWS cloud infrastructure.
- Background check required.
Culture & Benefits
- Performance-driven compensation including bonus programs and equity ownership.
- 100% paid health insurance for employees with 90% coverage for dependents.
- 401(k) matching and employer-paid life and disability insurance.
- Flexible lifestyle wallet for wellness and learning.
- Comprehensive time off including paid time off, sick leave, and parental leave.
- In-office perks including catered meals and collaborative workspaces.
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