Principal Python Engineer - ML Infrastructure
Alignerr • Remote • Posted 34 days ago
Education
Any
Type
Pay Rate
$62.5/task
Posted
34d ago
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Role Overview
As a Principal Python Engineer - ML Infrastructure, you will solve complex coding challenges to create "Golden Data" for training advanced code-generation models. You will likely engage in "red-teaming" (adversarial testing) to find logic gaps in AI code, write unit tests for generated snippets, and provide expert-level refactoring. This is pure technical work—no meetings, just deep-dive problem solving in languages like Python and C++.
Requirements
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 5+ years of professional experience writing production Python, specifically for large-scale infrastructure or platform engineering.
- Expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns.
- Deep understanding of Python internals (GIL limitations, memory profiling) and experience optimizing performance for compute-heavy workloads.
- Clear written and verbal communication skills for driving technical strategy and architectural decisions.
Compensation Analysis
Join the workforce powering the AI revolution. With a competitive rate of $62.5/hr and remote flexibility, this role allows you to balance professional growth with personal freedom. No previous AI experience is usually required—just your domain expertise.
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For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
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