ml-jobs.com

What It Is

ML-Jobs is a job aggregation and showcase site focused on machine learning roles. Its core goal is to “showcase the leading Machine Learning job opportunities in each country.” The page offers country selection, with Germany, USA, UK, and Singapore appearing in the content, and displays total compensation ranges and open job counts for companies such as OpenAI, Anthropic, Google, Microsoft, Bytedance, Nvidia, and Apple. Its filtering criteria are clearly stated: roles with better compensation and more open positions, while excluding internships, consulting, and freelance work.

Core Features and Product Format

Based on the crawled content, ML-Jobs is very lightweight in terms of core modules: browsing by country, company compensation ranges, job-count statistics, and viewing job titles and locations by company. For example, OpenAI shows 86 open roles in the USA, Anthropic 88, Google 174, and Microsoft 165. At the job-detail level, it mainly lists Job Title and Location, making it suitable for quickly understanding the supply and geographic distribution of AI/ML roles. However, the page does not show features such as resume submission, job saving, subscription alerts, candidate management, or an employer/recruiter dashboard.

Pricing, Collaboration, and Integrations

The crawled page does not mention any plans, pricing, free trials, payment methods, or monetization details, so it is not possible to determine whether the service is paid. There is also no visible information about third-party integrations, APIs, developer documentation, team collaboration, role-based permissions, data security compliance, or deployment options. From an enterprise software perspective, it is currently closer to a public job-information directory than an ATS or recruitment marketing SaaS for hiring teams.

Pros and Cons

Its strengths are high information density and a low learning curve. It allows users to quickly compare compensation ranges and open role counts across companies for machine learning positions, which is useful for job seekers and industry researchers. Its weaknesses are the limited information dimensions: it lacks details on job requirements, experience level, compensation breakdown, update time, and data sources. It also does not provide an account system, automatic alerts, or an end-to-end application workflow, making it less suitable for complex job-search management.

Who It’s For and Access from China

ML-Jobs is suitable for engineers, researchers, data science professionals, and others tracking high-paying overseas AI/ML roles, as well as people who want to monitor hiring momentum at leading tech companies. Access from China is not covered in the source content and should be tested directly. If access is unstable, alternatives include LinkedIn, Indeed, Glassdoor, and Levels.fyi; in China, users can also refer to Boss直聘, 猎聘, 拉勾, and similar platforms.