AI & ML Engineer Jobs Scraper — 8 Boards in One

Start with one input and output

An Apify account is required. Use your Apify API token when calling the API; Console runs do not need that token pasted into the input. No source login or AI-provider key is required for this quickstart. none.

Free-tier event rates checked 2026-10-04: result $0.0002; actor-start $5e-05.

Cost: Total = Actor event charges + platform usage if separately billed + any BYO-provider charges. See “Current costs” for your event rates, plan tiers and a calculation. A sample does not promise future billable volume.

Input and output below were read from the same successful run DyYmLU0VKirHxroPg (2026-10-03, immutable build mZLMTeeYxJ5Z0jqEq). This is an observed example, not a guarantee that repeating it returns this row. It used an earlier build; current-build execution has not been proved by this example.

Input JSON

{
  "queries": [
    "machine learning",
    "deep learning",
    "artificial intelligence",
    "generative ai",
    "large language models",
    "llm",
    "nlp",
    "natural language processing",
    "computer vision",
    "reinforcement learning",
    "mlops",
    "data scientist",
    "applied scientist",
    "ml engineer"
  ],
  "locations": [],
  "locationTypes": [],
  "employmentTypes": [],
  "postedWithin": "any",
  "maxItems": 200,
  "maxItemsPerSource": 50,
  "dedupe": {
    "enabled": true,
    "key": ""
  },
  "schemaVersion": "nomad-agent-simple-inventory-search-v2"
}

Matching output excerpt

Long strings and arrays are shortened for display; this is not a complete dataset fixture.

{
  "schemaVersion": "nomad-agent-job-row-v3",
  "source": "remote_boards",
  "id": "weworkremotely_gong-io-enterprise-revenue-architect",
  "url": "https://weworkremotely.com/remote-jobs/gong-io-enterprise-revenue-architect",
  "title": "Enterprise Revenue Architect",
  "company": "Gong.io",
  "locations": [
    "Anywhere in the World"
  ],
  "postedAt": "2026-10-02",
  "deadline": "2026-11-01",
  "description": "Headquarters:\nRemote (US)\n\nGong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agen… [truncated for display]",
  "descriptionHtml": "\n\n<p>\n  <strong>Headquarters:</strong> Remote (US)\n</p>\n\n<div class=\"content-intro\"><p>Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the G… [truncated for display]",
  "workType": "remote",
  "salary": null,
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}

Retained dedupe history can suppress previously returned postings. Keep a stable key and save your own history; an unchanged rerun can return zero new rows.

Recent AI and ML engineer jobs with complete original descriptions. Each row carries the source ID and URL, title, employer, locations, the original description as text and HTML, posting date, deadline, work arrangement, employment type, salary and the hiring contacts the source names, whenever the source publishes them. Unknown optional facts are null; an empty locations array means no usable location was published, and an empty hiringContacts array means the source names nobody.

Coverage includes jobs from public job sources: Foorilla Hiring (formerly aijobs.net); Hacker News Who is hiring; Y Combinator's Work at a Startup; Built In; Remote OK, Remotive and We Work Remotely; Welcome to the Jungle; JustJoin.it. LinkedIn is also served, fetched live on every run. Each row keeps its own source. Every posting is verified before it is served. A posting with a missing, truncated or unverified description is never returned: every row has the full original text. LinkedIn results use the requested search filters. Each posting still has its full description or it is left out. LinkedIn may limit or block a run, so its rows can be fewer than requested or missing: the other boards are still returned, RUN-SUMMARY.unavailableSources names LinkedIn, and the run is marked partial.

Without queries (or the older keyword), runs return AI and ML roles only: the default queries are listed under Input. Built In coverage is limited to the supported category, which is narrower than the whole site.

LinkedIn is searched live for at most 6 combinations of query, location and work arrangement per run. With the default queries it searches a curated subset of them, computer vision, artificial intelligence, ml engineer, deep learning, machine learning and generative ai, while the other boards use all of them. Naming several locations or locationTypes shares the six searches, so each location gets fewer of those phrases: two locations get the first three each, three get the first two, and four to six get the first phrase only. With your own queries, or more than six locations and work arrangements together, combinations beyond the sixth are not searched: the last locations you list can get no LinkedIn rows, the run is marked partial, and RUN-SUMMARY.unavailableSources says how many combinations were searched.

Input

{"schemaVersion": "nomad-agent-simple-inventory-search-v2", "queries": ["machine learning", "deep learning", "artificial intelligence", "generative ai", "large language models", "llm", "nlp", "natural language processing", "computer vision", "reinforcement learning", "mlops", "data scientist", "applied scientist", "ml engineer"], "locations": ["Europe"], "locationTypes": ["remote"], "employmentTypes": [], "postedWithin": "7d", "maxItems": 200, "maxItemsPerSource": 50, "dedupe": {"enabled": true, "key": ""}}

Every filter is optional, and an empty list means no filter. Filters are applied to all available postings before maxItems is counted.

• queries: a posting matches a query when its title or description contains every word of it, as whole words, ignoring case. A posting matches when any query matches. Default: a run that sets neither queries nor the older keyword searches for AI and ML engineer roles with these queries: machine learning, deep learning, artificial intelligence, generative ai, large language models, llm, nlp, natural language processing, computer vision, reinforcement learning, mlops, data scientist, applied scientist, ml engineer. Your own queries or keyword replace them, and an empty list means no query filter.
• locations: a city, region, country name or two-letter ISO country code. Countries match by name, code and native name (Germany, DE and Deutschland find the same postings), and EU and Europe cover their member countries.
• locationTypes (remote, hybrid, onsite) and employmentTypes (Full-time, Part-time, Contract, Internship): while one is set, a posting whose source does not state that fact is left out.
• postedWithin: a positive duration in hours (h), days (d), weeks (w) or 30-day months (m), up to 36500 days, or any. Postings without a source date use the date they were first seen, which later refreshes never reset.
• maxItems defaults to 200; 0, or anything above 200, means 200.
• maxItemsPerSource (default 50, at most 200) caps how many postings each source contributes; maxItems then keeps the newest postings across all sources.
• dedupe suppresses postings already delivered to the same Apify account for the same search; different filters keep separate histories. Set dedupe.enabled to false to get stateless results, or set dedupe.key to keep separate alert histories.

Output

One flat row per posting in the nomad-agent-job-row-v3 format: schemaVersion, source, id, url, title, company, locations, postedAt, deadline, description, descriptionHtml, workType, salary, employmentTypes, hiringContacts. employmentTypes lists the types the source states (Full-time, Part-time, Contract, Internship) or is null. Each hiring contact has a name, and a title and url or null. Newest postings come first. A run summary, including any input field that was mapped or ignored, is written to the RUN-SUMMARY record of the run's key-value store.

Changes

• October 2026: new row format. Rows are now nomad-agent-job-row-v3 (15 fields) instead of nomad-agent-job-row-v1. Postings come from the available postings of seven boards (Foorilla, Hacker News, Y Combinator, Built In, RemoteOK/Remotive/We Work Remotely, WTTJ and JustJoin.it), and LinkedIn is read live on every run. Pricing is unchanged.
• Removed from every row: recordType, custom, warnings, docs, snippet (the text is in description and descriptionHtml), seniority, isRemote, remoteType (use workType), location (use locations), salaryMin, salaryMax, salaryCurrency and salaryPeriod (the source's salary text stays in salary), employmentType (now the employmentTypes array, null when unknown), and hiringContactName, hiringContactTitle and hiringContactUrl (now hiringContacts, a list of name, title and url).
• Input: queries, locations, locationTypes, employmentTypes, postedWithin and maxItemsPerSource (default 50, was 36) filter the search, and maxItems defaults to 200 (was 288). keyword becomes queries and replaces the AI/ML default. sources, cacheTtlSeconds, concurrency, runTimeoutSecs and apifyToken are ignored with a note in RUN-SUMMARY. All supported boards remain included.
• Repeats: a posting you already received from this Actor for the same search is no longer returned again by default, where the earlier Actor only removed repeats within one run. Set dedupe.enabled to false for stateless results.
• Source and ID changes: postings from aijobs.net now carry source: "foorilla" (was ai_jobs_net). Remote board ids now start with the board name, for example remoteok_123, so a consumer that keys on (source, id) can receive postings it already has once more.
• Board coverage: Hacker News serves the current "Who is hiring?" thread only, and the full-text searchQuery mode is gone. Built In coverage is limited to the supported category. LinkedIn is fetched live, for a curated subset of the AI/ML phrases and at most 6 query, location and work arrangement combinations per run (see above), and can be limited or unavailable, in which case the run is partial; the other boards are still returned.

Fast setup and source code

Public repository · Agent setup skill.

Use the Actor’s current input form for filters, or start with its documented API example. Select latest for ml-ai-dev-bundle and record the immutable build ID and number returned by your run. Inspect the dataset and any run summary the Actor documents together; a successful status alone does not establish complete source coverage.

Restrictive filters or repeat-delivery suppression can produce zero results. Diagnostics and demo records are not source records. Optional AI or translation stays explicit where supported.

Observed output example

Selected fields from a real source record inspected on 2026-10-03; consult the output schema for the full contract. Values change with the source.

{
  "schemaVersion": "nomad-agent-job-row-v3",
  "source": "justjoinit",
  "id": "accenture-industry-x---engineering-platform-integration-agile-product-implementation-analyst-consultant-gn--warszawa-pm",
  "url": "https://justjoin.it/job-offer/accenture-industry-x---engineering-platform-integration-agile-product-implementation-analyst-consultant-gn--warszawa-pm",
  "title": "Industry X – Engineering Platform Integration & Agile Product Implementation Analyst/Consultant (GN)",
  "company": "Accenture",
  "locations": [
    "Warszawa, PL"
  ],
  "postedAt": "2026-10-01",
  "deadline": "2026-11-30",
  "workType": "hybrid",
  "salary": null,
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}

Product guides and related tools

• Product overview and public links
• Public setup guide
• Job Atlas job-data tools
• Oink personal job alerts
• Search ten job boards with one API call

Current costs

Current Actor event rates, checked 2026-10-04. USD; use the Pricing tab for your plan and later changes.

Event	Free	Bronze	Silver	Gold	Platinum	Diamond
Job result (result)	$0.0002	$0.0002	$0.0002	$0.0002	$0.0002	$0.0002
Actor start (actor-start)	$5e-05	$5e-05	$5e-05	$5e-05	$5e-05	$5e-05

For example, 100 × result, 1 × actor-start totals $0.02005 in Actor event charges on Free. This is an arithmetic example, before any waiver; actual charged events depend on the run and selected options. It is not a promise of output or a charge for simply setting an item cap.

Your total is the charged Actor events, plus platform usage only if this Actor’s Pricing tab bills it separately, plus any external provider you use with your own key. Do not add platform usage twice when it is included. Apify credits and plan discounts affect your invoice. Set a run cost limit in Console before starting.