ML Engineer (MSc. or PhD)
高级 ML 工程师 （MSc.或博士）薪水：60美元~120美元/小时 地点：全球，完全远程工作类型：承包商 （每周15个小时）时间表：灵活你选择你的工作时间和日期，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，训练和推断系统，数值计算，性能优化和 Python 的 AI 培训项目做出贡献。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 编码代理经验。你将如何工作？·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。·实现模型组件，数据管道，评估系统和数字方法。·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 ·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中的士学位或博士学位。· 强大的专业或研究经验在机器学习中。· 用 Python 与编码代理实践熟练。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。专家每项工作都会根据项目规格获得报酬。具体需要的时间可能取决于专家的经验和工作流程。申请职位并完成选问题。· 完成大约30分钟的 AI 面试。· 完整招聘管理员审查。补偿结构补偿是基于输出的。专家每个任务都能满足项目规范的薪酬。所需的时间可能因专家的体验和工作过程而异。最低提交要求适用。启动时间表 &可用性 · 我们通常在48小时内填写角色，并且正在寻找准备立即开始的工作的专家。I
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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
- Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
- Implement model components, data pipelines, evaluation systems, and numerical methods.
- Build reproducible programmatic workflows using Python and command-line tools.
Required Qualifications
- A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
- Strong professional or research experience in machine learning.
- 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
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- 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
· 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.
Originally posted on Himalayas