Adversarial CV & LLM Research Scientist – Pre-Training

Mercor; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Mercor is seeking experienced machine learning researchers to advance deep learning models end-to-end across vision and language. You will work on well-scoped empirical open-ended ML research problems and contribute to robust and efficient solutions.

You will train image classifiers and generative models, improve robustness, and explore multilingual pre-training and LLM post-training approaches. The role emphasizes empirical rigor and impactful open research.

Qualifications

• Adversarial training of image classifiers (e.g. PGD-based training, TRADES).
• Evaluating robust accuracy under threat models (e.g. L∞ attacks, AutoAttack).
• Managing robustness-accuracy trade-off and robust overfitting.

Responsibilities

• Train image classifiers and generative image models from scratch, and fine-tune open-weight language models.
• Get the most out of limited data, compute, and model-size budgets.
• Make models robust — to adversarial inputs and to adversarial conversations.
• Compress models to meet size and latency constraints without sacrificing accuracy.
• Diagnose and resolve training issues.

Skills

Adversarial Robustness

Efficient Computer Vision

Generative Image Modeling

LLM Post-Training

Multilingual Pre-training

Data Augmentation

Education

PhD preferred

Tools

PyTorch

JAX

TensorFlow

Job description

Mercor is seeking experienced machine learning researchers to advance deep learning models end-to-end across vision and language. You will work on well-scoped empirical open-ended ML research problems and contribute to robust and efficient solutions.

You will train image classifiers and generative models, improve robustness, and explore multilingual pre-training and LLM post-training approaches. The role emphasizes empirical rigor and impactful open research.