AI Jobs Search: LLM & ML Jobs from 824 Companies, $1.15/1K
Pricing
from $1.00 / 1,000 matching jobs
Search AI jobs at 824 AI companies, startups and tech companies: machine learning and LLM roles by title, place, seniority, salary and date, read live from career pages. $1.15 per 1,000 AI jobs, less on Scale and Business. MCP-ready, no API key or login.
You can access the AI Jobs Search: LLM & ML Jobs from 824 Companies, $1.15/1K programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Their career pages are read live when you run it: 824 companies in the 5 lists together, each read once. The form starts with AI companies (179); add lists for a wider search. Fewer companies make a faster search. Leave empty to search every list. API value: a list such as [\"ai-companies\"].", "items": { "type": "string", "enum": [ "ai-companies", "tech-companies", "remote-first", "europe-tech", "startups" ], "enumTitles": [ "AI companies (179)", "Tech companies (311)", "Remote-first companies (90)", "Tech companies hiring in Europe (65)", "Startups (250)" ] }, "default": [ "ai-companies", "tech-companies", "remote-first", "europe-tech", "startups" ] }, "excludeCompanies": { "title": "Exclude companies", "maxItems": 1000, "type": "array", "description": "Companies of the lists to leave out of the search, such as your current employer or companies you already applied to: company names, websites or job board links, for example OpenAI or stripe.com. Their career pages are not read. Leave empty to search every company in the lists.", "items": { "type": "string" } }, "titleIncludes": { "title": "Title includes", "maxItems": 100, "type": "array", "description": "Keep only jobs whose title contains one of these words or phrases, ignoring case, for example engineer or product manager. Whole words only, so engineer matches Software Engineer but not Engineering Manager. A list of up to 100. Leave empty for all titles.", "items": { "type": "string" } }, "titleExcludes": { "title": "Title excludes", "maxItems": 100, "type": "array", "description": "Leave out jobs whose title contains any of these words or phrases, ignoring case. Whole words only, so intern does not match International. A list of up to 100, for example senior and intern. An excluded word wins over Title includes. Leave empty to keep every title.", "items": { "type": "string" } }, "descriptionIncludes": { "title": "Description includes", "maxItems": 100, "type": "array", "description": "Keep only jobs whose description names any of these words or phrases, ignoring case, such as Rust, Kubernetes or machine learning. Whole words only, so Rust does not match trust. A tool also matches its other names, so Postgres finds PostgreSQL. Up to 100. Each matching job comes with its description. Leave empty for all jobs.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Keep only jobs in this place, such as London, California or Germany. A country name or code (Germany, DE) keeps jobs in that country, so DE does not keep Rio de Janeiro. A US state or Canadian province keeps its region, so California keeps San Mateo, CA. Other text matches whole words, so York keeps New York, not Yorkshire. For several, put one per line. Any match keeps a job. In API input, put a line break between values. For remote jobs use Remote only. Leave empty for all." }, "locationExcludes": { "title": "Location excludes", "maxItems": 100, "type": "array", "description": "Leave out jobs in any of these places, matched like Location: India or IN also leaves out jobs in Bangalore, and California leaves out San Mateo, CA. A job with several places is left out when any of them matches. Jobs with no location are kept. A list of up to 100, for example India and Brazil. Leave empty to keep every location.", "items": { "type": "string" } }, "near": { "title": "Near a city", "type": "string", "description": "Keep only jobs within the distance below of one city, such as Berlin or Austin, TX. Add the country or US state to a shared name (Cambridge, UK). Distances run from each city's center, and every place of a job counts. A remote job is kept only when it lists such a place; do not combine with Remote only. Jobs whose city we do not know (only a country, or a town under 15,000 people) are left out; the warning counts them. An unknown city stops the run free, with close matches." }, "radiusKm": { "title": "Distance (km)", "minimum": 1, "maximum": 500, "type": "integer", "description": "How far from the city in Near a city a job may be, in kilometers, from 1 to 500. Default 50. Used only with Near a city.", "default": 50 }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "true: keep only jobs that can be done fully remote. Hybrid and on-site jobs are left out. Default false.", "default": false }, "remoteRegions": { "title": "Remote regions", "maxItems": 50, "type": "array", "description": "Keep only remote jobs open to one of these places: worldwide, americas, us, canada, latam, emea, europe, uk, apac, or a country code such as DE. Read from the job's location and title, for example Remote - US or Remote (EMEA). A job open worldwide matches every value, and a region matches the countries in it: europe keeps a job open in Germany. Remote jobs whose places are unknown are left out, and the warning says how many. Leave empty to keep every job.", "items": { "type": "string" } }, "visaSponsorship": { "title": "Only jobs that sponsor visas", "type": "boolean", "description": "true: keep only jobs whose description says the company sponsors visas. Jobs whose description does not mention it are left out. Each matching job comes with its description and the sentence about sponsorship. Default false.", "default": false }, "workplaceTypes": { "title": "Workplace", "type": "array", "description": "Keep only jobs with one of these workplace types: remote, hybrid or onsite (field workplaceType), from the board's own field or the location text. Jobs whose workplace type is unknown are left out, and the company's warning says how many; Greenhouse marks only remote and hybrid jobs, so its on-site jobs are unknown. Leave empty for all jobs.", "items": { "type": "string", "enum": [ "remote", "hybrid", "onsite" ], "enumTitles": [ "Remote", "Hybrid", "On-site" ] } }, "seniorities": { "title": "Seniority", "type": "array", "description": "Keep only jobs at one of these levels (field seniority), read from the title: Senior Engineer is senior, Head of Sales is director. A title without a level word, such as Software Engineer, has no seniority: those jobs are left out, and the company's warning says how many. Leave empty for all levels.", "items": { "type": "string", "enum": [ "intern", "entry", "mid", "senior", "staff_principal", "lead_manager", "director", "vp", "c_level" ], "enumTitles": [ "Intern", "Entry", "Mid", "Senior", "Staff or principal", "Lead or manager", "Director", "VP", "C-level" ] } }, "jobFunctions": { "title": "Job functions", "uniqueItems": true, "type": "array", "description": "Keep only jobs in these functions, read from each job's title, then its department and team (output field jobFunction). Pick one or more, for example Engineering and Data. English and German titles are read, and basic French, Spanish, Dutch and Swedish ones. In our tests about 9 in 10 jobs got the right function. API value: a list such as [\"engineering\", \"data\"]. Leave empty for all functions.", "items": { "type": "string", "enum": [ "engineering", "data", "product", "design", "sales", "marketing", "customer_success", "operations", "finance", "legal", "people_hr", "it_security", "research_science", "healthcare", "education", "manufacturing_trades", "retail_hospitality", "other" ], "enumTitles": [ "Engineering", "Data and analytics", "Product", "Design", "Sales", "Marketing", "Customer success and support", "Operations", "Finance", "Legal and compliance", "People and HR", "IT and security", "Research and science", "Healthcare", "Education", "Manufacturing and trades", "Retail, restaurants and hospitality", "Other" ] } }, "employmentTypes": { "title": "Job type", "type": "array", "description": "Keep only jobs with one of these job types (field employmentTypeNormalized), from the board's job type or the title. Jobs whose type is unknown are left out, and the company's warning says how many. Teamtailor gives no job type and Greenhouse only when the company sets one, so there mostly titles like Intern or Part-time tell. Leave empty for all.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "temporary", "internship", "apprenticeship", "volunteer" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Apprenticeship", "Volunteer" ] } }, "department": { "title": "Department", "type": "string", "description": "Keep only jobs whose department, team or department path contains this text, ignoring case, for example engineering. For several, put one per line. A job that matches any of them is kept. In API input, put a line break between values, as in \"engineering\\nsales\". Up to 100. Leave empty for all departments." }, "hasSalary": { "title": "Only jobs with a salary", "type": "boolean", "description": "Keep only jobs that show a salary, from the job board or written in the job description. Default false.", "default": false }, "minAnnualSalary": { "title": "Minimum yearly salary", "minimum": 0, "type": "integer", "description": "Keep jobs whose yearly salary reaches this amount, such as 120000, in the currency below. The top of the range counts, and pay written in the job description counts too. No exchange rates: jobs paid in another currency, and jobs with no yearly salary, are left out. Empty for no minimum." }, "minAnnualSalaryCurrency": { "title": "Minimum salary currency", "pattern": "^[A-Za-z]{3}$", "type": "string", "description": "Currency of Minimum yearly salary, as a three-letter code such as USD, EUR or GBP. Only jobs whose salary is in this currency can pass. Used only with Minimum yearly salary. Default USD.", "default": "USD" }, "postedSince": { "title": "Posted since", "pattern": "^(?:|\\s*\\d+\\s*(?:[Hh][Oo][Uu][Rr]|[Dd][Aa][Yy]|[Ww][Ee][Ee][Kk]|[Mm][Oo][Nn][Tt][Hh]|[Yy][Ee][Aa][Rr])[Ss]?(?:\\s+[Aa][Gg][Oo])?\\s*|(?!\\s*(?:[Ii][Nn]\\s+)?[+-]?\\d+\\s*(?!(?:[Jj][Aa][Nn]|[Ff][Ee][Bb]|[Mm][Aa][Rr]|[Aa][Pp][Rr]|[Mm][Aa][Yy]|[Jj][Uu][Nn]|[Jj][Uu][Ll]|[Aa][Uu][Gg]|[Ss][Ee][Pp]|[Oo][Cc][Tt]|[Nn][Oo][Vv]|[Dd][Ee][Cc])|(?:[Aa][Mm]|[Pp][Mm]|[Uu][Tt]|[Uu][Tt][Cc]|[Gg][Mm][Tt]|[Zz]|[Tt]|[Ee][Ss][Tt]|[Ee][Dd][Tt]|[Cc][Ss][Tt]|[Cc][Dd][Tt]|[Mm][Ss][Tt]|[Mm][Dd][Tt]|[Pp][Ss][Tt]|[Pp][Dd][Tt])(?![A-Za-z]))[A-Za-z]+(?:\\s+[A-Za-z]+)*\\s*$)\\D*\\d[\\s\\S]*)$", "type": "string", "description": "Keep only jobs posted on or after this date. Use a date as YYYY-MM-DD, for example 2026-09-01, or a period as a number plus hours, days, weeks, months or years, for example 24 hours or 7 days. A period counts back from the start of each run, which suits schedules. Jobs whose board gives no posting date are left out. Leave empty for all dates." }, "postedBefore": { "title": "Posted before", "pattern": "^(?:|\\s*\\d+\\s*(?:[Hh][Oo][Uu][Rr]|[Dd][Aa][Yy]|[Ww][Ee][Ee][Kk]|[Mm][Oo][Nn][Tt][Hh]|[Yy][Ee][Aa][Rr])[Ss]?(?:\\s+[Aa][Gg][Oo])?\\s*|(?!\\s*(?:[Ii][Nn]\\s+)?[+-]?\\d+\\s*(?!(?:[Jj][Aa][Nn]|[Ff][Ee][Bb]|[Mm][Aa][Rr]|[Aa][Pp][Rr]|[Mm][Aa][Yy]|[Jj][Uu][Nn]|[Jj][Uu][Ll]|[Aa][Uu][Gg]|[Ss][Ee][Pp]|[Oo][Cc][Tt]|[Nn][Oo][Vv]|[Dd][Ee][Cc])|(?:[Aa][Mm]|[Pp][Mm]|[Uu][Tt]|[Uu][Tt][Cc]|[Gg][Mm][Tt]|[Zz]|[Tt]|[Ee][Ss][Tt]|[Ee][Dd][Tt]|[Cc][Ss][Tt]|[Cc][Dd][Tt]|[Mm][Ss][Tt]|[Mm][Dd][Tt]|[Pp][Ss][Tt]|[Pp][Dd][Tt])(?![A-Za-z]))[A-Za-z]+(?:\\s+[A-Za-z]+)*\\s*$)\\D*\\d[\\s\\S]*)$", "type": "string", "description": "Keep only jobs posted before this date. Use a date as YYYY-MM-DD, for example 2026-06-01, or a period such as 30 days for jobs posted more than 30 days ago. With Posted since it gives a date range. Jobs whose board gives no posting date are left out, and the company's warning says how many. Leave empty for all dates." }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "type": "integer", "description": "Return at most this many matching jobs per company, the newest first, for example 20, so one large company does not fill the results. Leave empty for all matching jobs." }, "ukVisaSponsorOnly": { "title": "Only UK visa sponsors", "type": "boolean", "description": "true: keep only jobs at companies on the UK Home Office register of licensed sponsors for workers (ukVisaSponsor true). The company name must match a register name exactly, once words like Ltd, Limited, PLC and UK are set aside, so a company listed under another legal name is left out, and so is a name too short or too common to match safely. The warning says why. Default false.", "default": false }, "maxResults": { "title": "Max matching jobs", "minimum": 1, "maximum": 10000, "type": "integer", "description": "The most matching jobs this run returns, for example 200. Every company is searched and you get the newest matching jobs first, across all companies. You pay per matching job returned, so this caps the price of a run: 200 jobs at $1.15 per 1,000 cost $0.23 on Apify's Starter plan. At most 10,000.", "default": 200 }, "onlyNewJobs": { "title": "Only new jobs since my last run", "type": "boolean", "description": "true: return only matching jobs you have not received from this search before, newest first. The first run returns the jobs that match now and saves them. Each later run returns only jobs that are new since, so a day without new jobs returns nothing. Use it with a daily schedule. What you received is saved in your own Apify account, per Monitor name and set of filters. Default false.", "default": false }, "monitorName": { "title": "Monitor name", "pattern": "^[\\w-]{1,40}$", "type": "string", "description": "Only used with Only new jobs. Name of the saved list of jobs you received, so separate searches do not mix, for example ai-engineers or remote-design. Letters, numbers, - and _ only, up to 40 characters. Default: default.", "default": "default" }, "alertWebhookUrl": { "title": "Alert webhook URL", "type": "string", "description": "Only used with Only new jobs. An https link that gets one short message after a run with new jobs, and nothing on days without them. Paste the incoming webhook link of a Slack, Discord or Teams channel, or a Make, Zapier or n8n webhook, such as https://hooks.slack.com/services/... The message has the counts per company and the new jobs with their links. Free. Kept secret. Leave empty for no alert." }, "alertMaxJobs": { "title": "Jobs listed in an alert", "minimum": 1, "maximum": 50, "type": "integer", "description": "Only used with Alert webhook URL. How many new jobs the alert lists, newest first, one line each with title, location and salary when known, for example 20. More jobs are counted with a link to the dataset. A whole number from 1 to 50. Free. Default 10.", "default": 10 }, "alertOnFirstCheck": { "title": "Alert on the first run", "type": "boolean", "description": "Only used with Alert webhook URL. true: also send an alert on the first run, which returns the jobs that match now. Default false: the first run sends nothing, and later runs alert only on new jobs. Free.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. 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