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About the Role
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems.
What You'll Do
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 hard size and latency constraints without sacrificing accuracy.
Diagnose and resolve training issues.
You're a Good Fit If You
We are looking for candidates with strong expertise in one or more of the following areas:
Adversarial Robustness
Experience with:
Adversarial training of image classifiers (e.g. PGD-based training, TRADES).
Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls.
Managing the robustness–accuracy trade-off and robust overfitting.
Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
Common Questions
Mercor has a reliability rating of very reliable based on the listings we track, with an onboarding time of 1-3 weeks (interview + assessment + trial). See our full Mercor review for the details behind that rating.
Applying takes you to Mercor's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
$100-$120/h - Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
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.
