ML Engineer (MSc. or PhD)

Location: Remote; eligible from the United States

Salary: Hourly rate confirmed after the interview process

Company

hirify.global operates a human data and AI evaluation program pairing experienced engineers with modeling teams to assess generated code and software engineering agents.

What you will do

• Run and reproduce generated code outputs in a sandboxed environment.
• Grade ML engineering solutions for correctness, style, and edge-case handling.
• Write minimal failing unit tests that demonstrate missed bugs.
• Compare paired solutions, rank them, and provide written rationale tied to the rubric.
• Tag failure modes such as compile errors, runtime crashes, off-by-one errors, and security issues with severity scores.
• Document recurring code-generation failures and calibrate reviews against gold-standard examples to maintain inter-rater agreement above target.

Requirements

• MSc. or PhD and strong professional engineering experience, including the ability to read, run, and debug unfamiliar code.
• Ability to write concise unit tests capturing a single failure mode.
• Familiarity with a testing framework such as pytest, Jest, JUnit, Go test, or RSpec.
• Clear written reasoning suitable for review by another senior engineer.
• Reliable asynchronous availability for at least 10 hours per week.

Nice to have

• Prior code-review or technical-interview-grading experience.
• Open-source contributions or a public portfolio demonstrating production-quality code.
• Experience with standard tooling, linters, and idiomatic style guides for the target language.
• Familiarity with security-review checklists, OWASP, CWE, and application security patterns.

Culture & Benefits

• Remote work as an independent specialist contractor.
• Expected contractor arrangement with program-defined task volume and review pacing.
• Hourly compensation confirmed after the interview process.
• Placement depends on current program demand and reviewer confirmation.

Hiring process

• Confirm profile and eligibility details.
• Attach the role deliberately during specialist intake.
• Receive follow-up from the recruiting team if the profile fits a current program.