Machine Learning Engineer; Remote

This role supports the evaluation of advanced machine learning systems in collaboration with leading AI research initiatives
. It is intended for experienced machine learning engineers and researchers who can contribute to the development of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks
.

The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models
. This is a project-based, fully remote opportunity for professionals with strong hands-on ML research and engineering experience
.

• Design and develop detailed evaluation suites for machine learning engineering tasks
• Evaluate AI-generated solutions across model training, debugging, optimization, and experimentation workflows
• Analyze and document system behavior, performance characteristics, and limitations
• Contribute to the creation of benchmarks that reflect real-world ML engineering practices
• Maintain high standards of technical accuracy, clarity, and consistency in all deliverables

• 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 in an industry or academic setting (strongly preferred)
• Strong ability to reason about ML system design choices and technical trade-offs
• Excellent written communication skills and high attention to technical detail
• You will operate as an independent professional
• This is a fully remote role with a flexible schedule
• Projects may be extended, shortened, or concluded based on needs and performance
• The work does not involve access to confidential or proprietary information from any employer, client, or institution
• Payments are made weekly via Stripe or Wise
  , based on services delivered
• Candidates requiring H1-B or STEM OPT sponsorship are not supported at this time

• Upload your resume
• AI interview: A short 15-minute conversational session to understand your background, experience, and interest in the role
• Follow-up communication within a few days with next steps and onboarding details