# Daily Feed of New Machine Learning Jobs for Job Boards

**Use case:** 

New machine learning engineer jobs in the US and Canada from company career sites. Schedule it daily: with Only new jobs since my last run on, each run returns only jobs added since the previous run, ready for a job board or alerts.

## Input

```json
{
  "keywords": [
    "machine learning engineer"
  ],
  "matchKeywordsIn": "title",
  "locations": [
    "United States",
    "Canada"
  ],
  "includeRemoteForLocation": true,
  "postedWithinDays": 7,
  "onlyNewSinceLastRun": true,
  "onlyWithSalary": false,
  "visaSponsorship": false,
  "includeStaffingAgencies": false,
  "mergeLocations": true,
  "jobStatus": "open",
  "includeDescription": true,
  "maxResults": 100
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location (as shown)",
    "format": "string"
  },
  "workArrangement": {
    "label": "Work arrangement",
    "format": "string"
  },
  "experienceLevel": {
    "label": "Experience level",
    "format": "string"
  },
  "salaryText": {
    "label": "Salary (as shown)",
    "format": "string"
  },
  "datePosted": {
    "label": "Date posted",
    "format": "string"
  },
  "jobStatus": {
    "label": "Job status",
    "format": "string"
  },
  "url": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Career Site Jobs API: Workday, Greenhouse, Salaries ($5/1K) Actor is ready to run with the inputs already set for "Daily Feed of New Machine Learning Jobs for Job Boards". [Sign up or log in](https://console.apify.com/create-task-from-example/f3OhAcFEOWJcZvpey) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Daily Feed of New Machine Learning Jobs for Job Boards" task

The Career Site Jobs API: Workday, Greenhouse, Salaries ($5/1K) Actor will start running based on the input automatically. You can also change all the input fields, like job title words, match title words in, and more, to match your specific use case.

### 3. Receive the "Daily Feed of New Machine Learning Jobs for Job Boards" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, location (as shown), and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Daily Feed of New Machine Learning Jobs for Job Boards" task via API](https://apify.com/plumblinedata/career-site-jobs-api.md).

## FAQ

### How do I get each job only once?

Save this task, add a daily schedule, and keep Only new jobs since my last run on. The first run returns current matches; later runs return only jobs added since.

## About this Actor

This example demonstrates how to use [Career Site Jobs API: Workday, Greenhouse, Salaries ($5/1K)](https://apify.com/plumblinedata/career-site-jobs-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/plumblinedata/career-site-jobs-api.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/plumblinedata/career-site-jobs-api.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`).