# Every New Machine Learning Engineer Job Worldwide Today

**Use case:** 

Every machine learning engineer job posted anywhere in the world in the last 24 hours, with no result cap. The 24-hour window is what keeps the run bounded, so widen it and the dataset grows accordingly. Full description, salary, extracted skills, ATS and company profile on every row. Run it daily to build an AI hiring index.

## Input

```json
{
  "mode": "search",
  "searchKeywords": "machine learning engineer",
  "locations": [],
  "datePosted": "past_24h",
  "seniorityLevels": [],
  "jobTypes": [],
  "workplaceTypes": [],
  "sortBy": "date",
  "easyApplyOnly": false,
  "under10Applicants": false,
  "companyIds": [],
  "maxResults": 0,
  "includeCompanyData": true,
  "jobUrls": []
}
```

## Output

```json
{
  "jobId": {
    "label": "Job ID",
    "format": "string"
  },
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company.name": {
    "label": "Company",
    "format": "string"
  },
  "location.text": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace type",
    "format": "string"
  },
  "seniorityLevel": {
    "label": "Seniority level",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "isEasyApply": {
    "label": "Is Easy Apply",
    "format": "boolean"
  },
  "applicantCount": {
    "label": "Applicant count",
    "format": "integer"
  },
  "applicantCountBucket": {
    "label": "Applicant count confidence",
    "format": "string"
  },
  "jobUrl": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs API & Scraper [NO COOKIES] ✅](https://apify.com/unseenuser/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/unseenuser/linkedin-jobs-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).