应用机器学习工程师 - 内容开发人员（优化与基础）
Applied ML Engineer - Content Developer (Optimization & Foundations)
Jala University 是一项创新举措，旨在通过提供符合行业需求的实践教育，弥合学术界与产业界之间的差距，采用独特的教育模式，整合来自学术界和产业界的专家
我们的目标是通过软件行业改变欠发达地区的经济，创造对个人、社区和地区产生影响的职业机会，同时为后代留下持久的遗产
要求
- 计算机科学或相关领域的硕士学位
- 5年以上交付生产级软件的经验，包括2年以上生产环境AI/ML经验
- 能够从基础原理实现优化器（而非调用框架内置优化器），并能对梯度流、学习率调度和正则化诊断进行监控
- 熟练掌握概率论和信息论（似然、熵、KL散度）
- 能够亲自构建达到生产标准的课程作品，包括可监控的优化器和分析简报
- 熟练使用 Python、NumPy、scikit-learn、PyTorch（基础到自动求导/自定义优化器循环）、Jupyter、Docker、一个云虚拟机（AWS/GCP/Azure）、Weights & Biases、Modal（CPU + T4/A10）、matplotlib
- 有公开的技术写作样本（文档、工作坊材料、书章节或以文档著称的开源项目），包括能够撰写达到出版标准的内容
- 具备可复现性规范（依赖项固定、容器化、种子运行、参数解码文档）
- 具备专业的英文书面表达能力
福利
- 远程办公模式（居家办公）
- 加入一家充满活力且不断壮大的具有国际影响力的组织
最初发布于 Himalayas
查看英文原文
Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.
Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations
Requirements
- Masters Degree in Computer Science or related
- 5+ years shipping production software, including 2+ years in production AI/ML
- Able to implement optimizers from first principles (not by calling a framework's built-in optimizer) and instrument gradient flow, learning-rate schedules, and regularization diagnostics
- Working fluency in probability and information theory (likelihood, entropy, KL divergence)
- Able to personally build a course artifact to production standard, including an instrumented optimizer and analytical brief
- Hands-on with Python, NumPy, scikit-learn, PyTorch (basics through autograd/custom optimizer loops), Jupyter, Docker, one cloud VM (AWS/GCP/Azure), Weights & Biases, Modal (CPU + T4/A10), matplotlib
- Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard
- Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)
- Professional written English
Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.
Originally posted on Himalayas