ML Engineer
** 薪水：** 每小时60美元到120美元 (USD). ####高级 ML 工程师 （MSc.或博士）** 薪资：** 60美元每小时120美元 ** 地点：** 全球，完全远程 ** 工作类型：** 承包商 （~15个小时）** 日程：** 灵活你选择的工作时间和日期，包括周末如果需要 我们正在寻找高技能的**机器学习专家** 来为涉及模型开发，培训和推断系统，数值计算，性能优化和 Python 的 AI 培训项目做贡献。这项工作涉及创建，解决，审查和验证具有挑战性的机器学习工程任务。代表性任务可能需要实现或修改模型，构建可复制的训练或推理工作流程，优化内存或吞吐量，调试数值或系统级故障，并验证所产生的实施是否符合客观正确和性能要求。** 这是一个非常重的编码作用。但候选人在他们的工作流程中使用 python 编码代理有经验.**###你将如何工作 1.开发和验证机器学习模型，培训管道，推理系统和支持基础设施。2.执行模型组件，数据管道，评估系统和数字方法。3. 通过使用 Python 和命令行工具构建可复制的程序工作流程.###要求资格 1.计算机科学，机器学习，人工智能，应用数学，统计学，工程或紧密相关数量学科士学位或博士学位。2.在机器学习方面有强大的专业或研究经验。3.与**Python 以及编码代理实践熟练.**当候选人直接证明相关深度时也可以考虑等级的工具。在一个成熟的技术公司，AI 实验室，研究组织或其他公认的工程环境中获得经验是最喜欢的。专家可以获得免费的补偿。专家每项工作都会按项目规格完成，需要时间根据专家的经验和工作流程而变化。最少提交要求适用。###开始时间表 &可用性 1.
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**Pay:** $60-$120 per hour (USD).
### Senior ML Engineer (MSc. or PhD)
**Pay:** $60–$120/hour
**Location:** Global, fully remote
**Job Type:** Contractor (~15 hours per week)
**Schedule:** Flexible—you choose the hours and days you work, including weekends if desired
We are looking for highly skilled **Machine Learning Experts** to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
**This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.**
### What You’ll Work On
1. Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
2. Implement model components, data pipelines, evaluation systems, and numerical methods.
3. Build reproducible programmatic workflows using Python and command-line tools.
### Required Qualifications
1. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
2. Strong professional or research experience in machine learning.
3. Practical proficiency with **Python and coding agents.**
Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
### Process
1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.
### Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply.
### Start Timeline & Availability
1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.