Machine Learning Engineer

Machine Learning Engineer at Nexus Consulting

Nexus Consulting is seeking an experienced Machine Learning Engineer for a project-based, remote contract role. This position focuses on evaluating advanced machine learning systems for a leading AI research initiative. You will be instrumental in transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models.

About the Opportunity

This role is designed for ML engineers or applied researchers who thrive on deep technical reasoning, experimentation, and system-level thinking. You will directly influence how cutting-edge AI systems are assessed on practical machine learning engineering tasks, operating fully remotely on an asynchronous schedule with weekly payments.

Key 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.

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 within an an industry lab or academic setting (strongly preferred).
• Strong understanding of ML system design and optimization tradeoffs.
• Excellent written communication skills and high attention to technical detail.

Key skills/competency

• Machine Learning Engineering
• Applied ML Research
• AI System Evaluation
• Benchmark Development
• Model Training & Debugging
• ML System Design
• Optimization Tradeoffs
• Technical Writing
• Experimentation
• Data Analysis