人工智能/机器学习工程师 - 全程远程 | 最高每小时85美元
AI/ML Engineer - Fully Remote | Upto $85/hr
关于职位
Mercor将顶尖的创意和技术人才与领先的AI研究实验室联系起来。公司总部位于旧金山，我们的投资者包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：ML工程师（编码代理体验）
类型：合同制
薪酬：85美元/小时
地点：远程办公
岗位职责
- 使用前沿AI编码代理完成并评估复杂的机器学习和AI工程任务。
- 审查涉及模型训练、推理系统、MLOps和LLM应用的模型生成实现。
- 识别AI模型中的错误、边界情况、性能问题和故障模式。
- 比较多个前沿模型的输出，并评估它们的优缺点。
- 在实际的ML工程场景中应用专业的工程判断。
资格要求
必须具备
- 2年以上专业的机器学习工程经验。
- 有构建生产级ML系统、模型部署基础设施、LLM应用或AI驱动产品的经验。
- 频繁使用AI编码代理工具，如Cursor、Claude Code、Codex、Windsurf、Gemini CLI或类似工具。
- 能够评估模型生成的机器学习实现和技术权衡。
优先考虑
- 有将ML系统部署到生产环境的经验。
- 薪酬与法律
- 每项被接受的任务支付400美元
- 薪酬与被接受的工作相关
申请流程（需要20-30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细信息，请查看：
- 如有任何帮助或支持，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以考虑此机会。
最初发布在Himalayas
查看英文原文
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: ML Engineer (Coding Agent Experience)
Type:Contract
Compensation:$85/hour
Location:Remote
Role Responsibilities
- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
- Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
- Identify bugs, edge cases, performance issues, and failure modes in AI models.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
Qualifications
Must-Have
- 2+ years of professional machine learning engineering experience.
- Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
Preferred
· Experience deploying ML systems to production.
Compensation & Legal
- $400 per accepted task
- Compensation is tied to accepted work.
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