Machine Learning Engineer

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

Key skills/competency

• Machine Learning
• AI Systems
• Model Evaluation
• ML Research
• Experimentation
• Debugging
• Optimization
• Data Science
• Python
• Deep Learning