Machine Learning Engineer

Nexus Consulting is seeking a Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. The role involves transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models and contributing to the evaluation of cutting-edge AI systems on practical tasks.

Responsibilities:

• Design and write detailed evaluation suites for real-world machine learning engineering tasks
• Translate applied ML research and engineering workflows into structured benchmarks
• Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation
• Reason about ML system design choices, tradeoffs, and performance implications
• Produce clear, technically precise written assessments

Requirements:

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