# LinkedIn ML Engineer Jobs at Google, Microsoft, Amazon, Apple

**Use case:** 

Uses LinkedIn company IDs to pull machine learning engineer jobs posted in the last 30 days at Google, Microsoft, Amazon and Apple in the United States, up to 200 in one search. Rows include the salary range where disclosed, seniority, employment type and the job link. Swap in other numeric company IDs, the f_C number in a LinkedIn search URL, to track any employer.

## Input

```json
{
  "keywords": [
    "machine learning engineer"
  ],
  "locations": [
    "United States"
  ],
  "maxJobsPerSearch": 200,
  "postedWithin": "month",
  "workplace": [],
  "experienceLevels": [],
  "jobTypes": [],
  "easyApply": false,
  "under10Applicants": false,
  "companyIds": [
    "1441",
    "1035",
    "1586",
    "162479"
  ],
  "includeDetails": true,
  "sortBy": "relevance",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "company": {
    "label": "Company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "postedAt": {
    "label": "Posted",
    "format": "text"
  },
  "salaryText": {
    "label": "Salary",
    "format": "text"
  },
  "seniorityLevel": {
    "label": "Seniority",
    "format": "text"
  },
  "employmentType": {
    "label": "Type",
    "format": "text"
  },
  "applyType": {
    "label": "Apply",
    "format": "text"
  },
  "url": {
    "label": "LinkedIn",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper – No Login, Salary & Apply URL](https://apify.com/inovaflow/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/inovaflow/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).