### - We require 3+ years of machine learning experience; time spent in a PhD program counts toward this. - We look for candidates who attended a top-100 university or have worked at FAANG or a comparable company. - Experience with PyTorch, JAX, or TensorFlow is expected. - Deep expertise in at least one area such as pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual work, or data pipelines is required. - Practical experience in pretraining, reinforcement learning, post-training, dataset curation, or model architecture is required.
Responsibilities:
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- We will have you tackle open-ended machine learning research tasks within fixed time and compute limits. - We expect you to work independently in a sandboxed Linux environment with internet access. - We want you to use your preferred tools, including IDEs and AI coding assistants such as Cursor, Claude Code, and ChatGPT. - We require you to record your full working sessions with screen capture. - You will complete pre-task and post-task questionnaires. - You will submit the final deliverable, screen recording, and completed questionnaires for review.
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Company:
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We are Mercor, a remote company that connects elite creative and technical talent with leading AI research labs. We are headquartered in San Francisco and backed by investors including Benchmark, General Catalyst, Peter Thiel, Adam DAngelo, Larry Summers, and Jack Dorsey. This is a contract position offering $75-$90 per hour with a 20+ hour weekly commitment. We provide the compute and environment, so no personal GPU is needed. All work is confidential and covered by NDA, and our team reviews applications daily. The application process is straightforward and takes about 20-30 minutes, including resume upload, an AI interview based on your resume, and form submission.
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