
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.
🔥 9 minutes ago
🇺🇸 United States – Remote
💵 $100 - $120 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
👻 Ghost score 2%
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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.
• Train image classifiers and generative image models from scratch • Fine-tune open-weight language models • Optimize models under limited data, compute, and model-size budgets • Improve model robustness against adversarial inputs and conversations • Compress models to meet 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 high-impact projects • Work on projects training and enhancing AI systems for leading AI labs and enterprises
• 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, 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 and preference optimisation of open-weight language models • Experience shaping conversational behavior and alignment-style fine-tuning • Experience training multilingual or low-resource-language models from scratch and designing tokenizers across scripts • Additional experience in scaling laws, curriculum learning, model evaluation, uncertainty estimation, calibration, or synthetic data is a plus • Must be an independent contractor • Mercor is unable to support H1-B or STEM OPT candidates at this time
• 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 compensation of up to $480 per successful referral
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