Machine Learning Engineer (Remote)

keystone recruitment • United Arab Emirates
Remote
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AI Summary

Design and write detailed evaluation suites for machine learning engineering tasks. Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation. Collaborate with research teams to ensure evaluation frameworks reflect real-world ML engineering workflows.

Key Highlights
100% remote opportunity
Project-based role
Hands-on ML research experience required
Key Responsibilities
Design and write detailed evaluation suites for machine learning engineering tasks
Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
Collaborate with research teams to ensure evaluation frameworks reflect real-world ML engineering workflows
Technical Skills Required
Machine Learning Model Development Experimentation Evaluation
Benefits & Perks
USD 100-120 per hour
100% remote work
Flexible scheduling

Job Description


  • Role: Machine Learning Engineer (Remote)
  • Location: 100% Remote (Global)
  • Compensation: USD 100-120 per hour


Role Overview

One of our clients, a leading AI research lab, is seeking Machine Learning Engineers and Researchers to support the evaluation of advanced AI systems. This project involves translating practical ML research and engineering workflows into structured evaluation suites that measure AI performance on real-world tasks. This is a project-based, fully remote opportunity for experts with hands-on ML research experience.


Key Responsibilities

  • Design and write detailed evaluation suites for machine learning engineering tasks
  • Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
  • Collaborate with research teams to ensure evaluation frameworks reflect real-world ML engineering workflows


Ideal Qualifications

  • 3+ years of experience in machine learning engineering or applied ML research
  • Hands-on experience with model development, experimentation, and evaluation
  • Background in ML research (industry lab or academic setting strongly preferred)
  • Strong reasoning skills around ML system design choices and tradeoffs
  • Clear written communication and high attention to technical detail


Additional Information

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.


Contract and Payment Terms

  • Engagement as an independent contractor
  • Fully remote role with flexible scheduling
  • Projects may be extended, shortened, or concluded early depending on needs and performance
  • Work does not involve access to confidential or proprietary information from any employer, client, or institution
  • Payments are weekly via Stripe or Wise based on hours worked
  • H1-B or STEM OPT candidates cannot be supported at this time


APPLY NOW!


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