Software Engineer, Analytics Platform

AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
$295,000 - $440,000
Data
Senior Software Engineer
Hybrid
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Description For Software Engineer, Analytics Platform

The Research Platform Analytics team at OpenAI designs, builds, and operates critical foundational data and analytics infrastructure to enable research towards AGI. As a Software Engineer in the Analytics Platform team, you'll work on scaling Kubernetes services, debugging Kafka consumer lag, diagnosing distributed systems failures, and developing end-to-end data processing pipelines. You'll participate in architecture and engineering decisions, ensure data security and integrity, scale analytics platforms, and empower engineers and researchers with excellent data tooling. The role involves building stream and batch data processing pipelines, working with modern infrastructure management tools, and developing observability systems for ML training. You should be proficient in Python, comfortable with large monorepo codebases, and experienced in data lifecycle management. The team is responsible for the reliability of the systems they build, including an on-call rotation for critical incidents. OpenAI offers a hybrid work model with 3 days in the office per week and provides relocation assistance.

Last updated 9 months ago

Responsibilities For Software Engineer, Analytics Platform

  • Participate in architecture and engineering decisions
  • Ensure data security, integrity, and compliance
  • Scale analytics and data platforms reliably
  • Empower engineers and researchers with excellent data tooling and systems
  • Partner with product engineers and other teams to build technical foundations
  • Participate in on-call rotation for critical incidents

Requirements For Software Engineer, Analytics Platform

Python
Kubernetes
Kafka
  • Experience in building stream and batch data processing pipelines (e.g., Kafka, Spark, Flink)
  • Proficiency with modern infrastructure management tools (e.g., Kubernetes, Terraform)
  • Passion for observability systems, especially for ML training
  • Experience with ML training organizations and data transformation during pre-training
  • Proficient software engineering skills, ideally in Python
  • Experience working with large monorepo codebases
  • Knowledge of data lifecycle management systems for large organizations
  • Self-starter comfortable in a fast-paced environment

Benefits For Software Engineer, Analytics Platform

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
Equity
  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • 401(k) plan with 50% matching
  • Unlimited time off and 13 company holidays per year
  • Paid parental leave (20 weeks) and family-planning support
  • Annual learning & development stipend ($1,500 per year)
  • Equity

Interested in this job?