[Hiring] ML Scientist - Adversarial Robustness - AI Trainer @Mercor

Role Description

• Train image classifiers and generative image models from scratch.
• Fine-tune open-weight language models.
• Optimize models for limited data, compute, and model-size budgets.
• Enhance model robustness against adversarial inputs and conversations.
• Compress models to meet size and latency constraints without losing accuracy.
• Diagnose and resolve training issues to improve model performance.

Qualifications

• 3+ years of machine learning research experience (PhD research counts).
• Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
• Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

Requirements

• Experience with Adversarial Robustness and Efficient Computer Vision.
• Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness.
• Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning.

Benefits

• Compensation: $100–$120/hour.
• Type: Contract.
• Location: Remote.

Application Process

• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.