ML Scientist - Adversarial Robustness
# ML Scientist - Adversarial Robustness **mercor** · Germany · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Research]` `[LLM-Research-Scientist]` `[Adversarial-Machine-Learning]` `[Computer-Vision-Research]` `[AI-Research]` `[Adversarial-ML-Engineer]` `[Adversarial-ML-Testing]` `[Adversarial-ML-Specialist]` `[Adversarial-AI-Researcher]` `[Adversarial-ML]` `[Adversarial-AI-Engineer]` `[AI-Adversarial-Specialist]` `[AI-Adversarial-Testing]` `[Machine-Learning-Scientist]` --- ### About the Role 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 Role 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 . Application Process (Takes 20–30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas
- Machine-Learning-Research
- LLM-Research-Scientist
- Adversarial-Machine-Learning
- Computer-Vision-Research
- AI-Research
- Adversarial-ML-Engineer
- Adversarial-ML-Testing
- Adversarial-ML-Specialist
- Adversarial-AI-Researcher
- Adversarial-ML
- Adversarial-AI-Engineer
- AI-Adversarial-Specialist
- AI-Adversarial-Testing
- Machine-Learning-Scientist
Наблюдалась 2026-10-15, впервые 2026-10-15, источник — Himalayas (JSON API).