Principal Engineer, Data Infrastructure
The New York Times4 days ago
Remote, United States or New York, NY, USAStaff+
Base Salary
$198k - $220k/yr
Responsibilities
- Design and evolve infrastructure for data ingestion, storage, and machine learning workflows.
- Build systems for training, deploying, monitoring, and governing machine learning models.
- Ensure end-to-end system reliability and monitoring across data and ML workloads.
- Deliver frameworks and APIs for engineers and analysts to build solutions independently.
- Evaluate and introduce emerging technologies and establish adoption guidelines.
- Partner with cross-functional leaders to align on strategy and accelerate delivery.
- Guide and mentor senior engineers and lead architecture reviews.
Requirements
- 10+ years of software engineering experience focused on distributed systems and ML infrastructure.
- Proven ability to influence technical direction and mentor senior engineers.
- Expertise in data processing frameworks and orchestration tools.
- Deep knowledge of ML infrastructure including model training and monitoring.
- Strong programming skills in Python and a compiled language like Java or Go.
- Experience designing scalable and reliable systems.
- Familiarity with cloud platforms like AWS or GCP and modern data architectures.
Benefits
- Medical, dental, and vision benefits.
- Flexible Spending Accounts (F.S.A.s).
- Company-matching 401(k) plan.
- Paid vacation and sick days.
- Paid parental leave.
- Tuition reimbursement and professional development programs.