LLM Research Scientist – Pre-training, Computer Vision, Adversarial Robustness

🔥 22 minutes ago

🇺🇸 United States – Remote

💵 $100 - $120 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Train image classifiers and generative image models from scratch • Fine-tune open-weight language models • Optimize models within limited data, compute, and model-size budgets • Improve robustness against adversarial inputs and adversarial conversations • Compress models to meet strict size and latency constraints while preserving accuracy • Diagnose and resolve training issues • Conduct empirical, open-ended machine learning research • Collaborate with leading AI researchers on challenging, high-impact projects • Work on projects training and enhancing frontier AI systems

🎯 Requirements

• 3+ years of machine learning research experience; PhD research counts toward this requirement • 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 • Expertise in one or more of: adversarial robustness, efficient computer vision, generative image modeling, LLM post-training and behavioral robustness, or multilingual pre-training • Experience with adversarial training of image classifiers, robust-accuracy evaluation, threat models, and robustness–accuracy trade-offs • Experience training image classifiers end-to-end, model compression, and deployment under hard size or latency budgets • Experience training diffusion models, GANs, VAEs, or flow-based generative models from scratch • Experience with supervised fine-tuning, DPO, RLHF, RLAIF, synthetic data generation, noisy or weak supervision, and rejection sampling • Experience shaping conversational behavior, including resistance to persuasion and sycophancy, calibrated confidence, and accepting corrections • Experience training multilingual or low-resource-language models from scratch, tokenizer design, and cross-lingual data balancing • Experience in scaling laws, curriculum learning, model evaluation, uncertainty estimation, calibration, data augmentation, or synthetic data for robustness is a plus • Must be able to work as an independent contractor • Mercor cannot support H1-B or STEM OPT candidates at this time

🏖️ Benefits

• Flexible, project-based work • Competitive compensation • Fully remote work • Work on your own schedule • Weekly payments via Stripe or Wise • Projects may be extended, shortened, or concluded early depending on needs and performance • Reasonable accommodations upon request • Referral payments of up to $480 for each successful referral, subject to limits