AI Research Scientist - Fully Remote | Up to $200/hr
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.职位：机器学习专家类型：合同补偿：150200美元/小时位置：远程角色责任 ·为长视野人工智能研究项目开发具有挑战性的机器学习工程任务。·设计挑战边界模型的任务，确保在8次尝试中不超过2次解决。·关注推断，评估和系统的工作而不是重型模型培训。任务运行于 GPU 和 CPU 两种方式。· 清楚地解释为什么每个问题对边界模型来说是困难的。· 贡献想法而不需要自己构建或审查任务。资格必须有•当前或最近担任 ML 研究工程师，研究科学家或应用科学家的工作。· 在 PyTorch 或 JAX 中培训，细节调整或优化模型的经验。· 至少在一个领域深入了解：LLM,GPU 推理和性能，强化学学习 (RL) 或科学 ML. · 为何问题对于边境模型很困难？最喜欢的 · 写标志或评估问题经验。• 在 ML,CS 或物理中博士学位或具有强大的研究成果的 MSc. ·出版物。· 之前的美尔科合同具有强大的性能。申请过程 （需要20~30分钟才能完成）· 上传简历 · AI 面试根据你的简历 ·提交表格资源和支持 · 请查看有关面试进程和平台信息的详细信息：· 任何帮助或支持，请联系：PS:我们的团队每天审查应用程序。请完成你的 AI 面试和申请步骤将被考虑为此机会。最初发布在喜马拉雅山。
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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, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Machine Learning Expert
Type:Contract
Compensation:$150–$200/hour
Location:Remote
Role Responsibilities
- Develop challenging machine learning engineering tasks for a long-horizon AI research project.
- Design tasks that challenge frontier models, ensuring they are solved in no more than 2 out of 8 attempts.
- Focus on inference, evaluation, and systems work rather than heavy model training. Tasks run on both GPU and CPU.
- Clearly explain why each problem is difficult for a frontier model.
- Contribute ideas without needing to build or review the tasks yourself.
Qualifications
Must-Have
- Current or recent role as an ML research engineer, research scientist, or applied scientist.
- Experience with training, fine-tuning, or optimizing models in PyTorch or JAX.
- Deep knowledge in at least one area: LLMs, GPU inference and performance, Reinforcement learning (RL), or Scientific ML.
- Ability to explain why a problem is hard for a frontier model.
Preferred
- Experience writing benchmark or evaluation questions.
- PhD in ML, CS, or physics, or an MSc with strong research output.
- Publications.
- Prior Mercor contracts with strong performance.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas