Six products, two of them free forever. Start wherever you are.
Your free digital resume
at drivetube.ai/in/your-name: one true standard resume with a Hiring Snapshot (visa status, expected salary, notice period, work preference, relocation), an ATS-ready PDF download and a single shareable link. Free forever; interview requests come from verified employers and your contact details stay masked until you accept.
DocumentationVerified jobs, posted in the last 3 days
verified openings crawled ATS-by-ATS from 115,000+ real company career pages across 54 ATS platforms. Shows the true posting date from the source ATS — not when a listing was indexed — and deletes every general listing 3 days after it was actually posted. No ghost jobs, no ad-sponsored listings, no staffing reposts, no account needed.
DocumentationWritten by senior career writers
human-written, ATS-optimised resumes by senior career writers, from ₹499.99 / $25.99. Available in every country, written to the destination country's own standard — a US resume, UK CV, German Lebenslauf and Indian resume are genuinely different documents. A paid service, separate from the free Drivetube Profile.
DocumentationDaily matched jobs, tailored resumes, or we apply for you
Drivetube's paid service, in three plans. Community sends daily Jobsheets of fresh jobs matched to your profile on WhatsApp and email, with the Drivetube Community ($39.99 for 3 months or $69.99 for 6 months; ₹999 or ₹1,899 in India). Resume Tailor is one-time application credits, one tailored resume each, with the dashboard, matched openings and the Drivetube Community while you have credits (100 for $79.99 or 300 for $199.99). Let Us Apply has a human expert find jobs, tailor your resume and apply for you (250 applications for $349.99 or 500 for $599, one-time). Every plan shares one dashboard at drivetube.ai/matched-openings.
DocumentationFor employers — no job postings, no applications
hiring with no job postings and no applications. Paste your real job description and AI matches it against candidates' true standard resumes, returning ranked candidates with a match %, matched and missing skills and written reasoning. Free tier included; employers pay, candidates never do.
Documentationevery product explained in full, with feature-by-feature comparisons against the job boards, AI apply tools, resume services and hiring platforms people actually use.
tactical job-search guides. Each post is one named tactic with the situation it applies to, the exact steps, a copy-paste message and honest failure modes. Free, no account.
The job board covers the United States, India, United Kingdom, Canada, Europe and Australia, and Resume Writing Services are available in every country.
Pricing is identical on the web, iOS and Android — no app-store markup. Monthly Community membership is purchased in the iOS app only; the website sells annual plans. The Android app has no in-app purchase, so Android members subscribe on drivetube.ai and then sign in to the app with full access. Membership follows your account, not your device.
A live count of AI, machine learning and data science roles posted within the last three days, straight from company career pages. Every listing links to the employer's own application page.
3,473
AI & machine learning jobs live right now
2.6% of all 134,422 live listings — covering AI, ML, GenAI, LLM, NLP, computer vision and data science titles.
Updated 31 October 2026 at 16:41 UTC · rebuilt continuously from company career pages
3,473
AI & ML roles live
27,101
all jobs posted in last 24h
15,369
companies hiring right now
The live count is shown at the top of this page and is recomputed continuously from company career pages. It covers roles whose titles indicate AI, machine learning, GenAI, LLM, NLP, computer vision or data science work, posted within the last three days.
By matching the job title against AI and machine learning terms — artificial intelligence, ML, machine learning, LLM, GenAI, deep learning, NLP, computer vision and data science. Title matching is used rather than category tagging because the majority of listings carry no category, so tag-based counting would substantially understate the real figure.
No. Only the job title is matched, which keeps the count focused on roles that are genuinely AI-focused rather than any role whose description happens to mention AI tooling. That makes the figure conservative: a data engineer working primarily on ML pipelines would not be counted unless the title says so.