ML Scientist - Adversarial Robustness - AI Trainer
Mercor, Inc.
Chicago, IL, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$208,000.0 - $249,600.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Computer Vision
Machine Learning
Language Modeling
Tensorflow
Pytorch
Large Language Models
Generative AI
Job 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., Role Title: Lawyer Role Type: Contractor Location: Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer’s project. In this role, you’…
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Requirements
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.
About the company
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…
- 22 hours ago
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