About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote
Responsibilities
- 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
Must-Have
- 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.
Preferred
- 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 .
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ML Scientist - Adversarial Robustness Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
