Learn Computer Stuff
Home / AI / Machine Learning / AI Research Scientist
AI / Machine Learning

AI Research Scientist

You originate the ideas — formulate the problems, run the experiments, publish the results.

Degree usually expected The hardest path here, and the entry barrier is largely credentialed in the academic sense.


Can I actually do this?

We are going to be blunt, because much of the internet is not. This role usually expects a PhD or an equivalent publication record, and no course or certificate substitutes for that. Its prerequisites are linear algebra, calculus and probability before any machine learning at all. If you are switching into tech and want a job this year, one of the other routes on this site is a better use of your time — this is a multi-year academic path, and saying otherwise would waste years of yours.

Who it suits. People who want to work on open questions and are prepared for most experiments to fail.

Runway. The longest path on this site, and it sits on top of substantial mathematics — linear algebra, calculus and probability come before any machine learning. We give no hours figure: the only one available is unsourced, and for a multi-year academic path a fake number is worse than none.

Coming from another job?

Working as a research engineer and publishing? That is the most common non-academic route in. AI Research Engineer

Also advertised as

  • Research Scientist
  • Member of Technical Staff (research)
  • Applied Scientist

The route

Four stations, in order. Each one is a thing you finish before the next matters.

  1. Station one

    Learn it free

    Only the best few, deliberately. Every one of these is free to use — the pill on each card says exactly what is and isn't free.

    arXiv — the preprint archive

    Free to learn · no certificate

    Where the field publishes, free and open. Reading current work is the job, not preparation for it.

    Attention Is All You Need

    Free to learn · no certificate

    Start from the foundational papers and follow their citations forward. Free on arXiv.

    Practical Deep Learning for Coders (fast.ai)

    Free to learn · no certificate

    Free and excellent, but be clear what it is: a strong practical foundation, not research training. It does not substitute for the mathematics this role assumes.

    See the full catalog in the explorer →

  2. Station two

    Attest strategically

    Effectively nothing. CertNexus CAIP appears here because the knowledge graph links it and it is the one accredited AI certification we found — but a certificate is close to irrelevant for a research scientist, whose currency is publications. We would rather say that than sell you an exam.

    CertNexus Certified Artificial Intelligence Practitioner (CAIP)

    Free to learn · paid certificate Recognized

    The honest cost
    CostNot published
    ValidityNot stated on the fetched pages.
    RenewalNot stated on the fetched pages.
    AssessmentCertification exam, accredited to ISO/IEC 17024:2012
    ProctoredNo
    Verify viaunknown
    Cost per active yearUnknowncannot be computed — no published fee

    Independently accredited by the ANSI National Accreditation Board — the only AI certification in our matrix that is.

    Read this before you buy

    ANAB/ISO 17024 accredits the CERTIFYING BODY's assessment process — a different and stronger claim than a vendor certifying competence on its own product. That is why it appears here rather than a vendor badge. Price, validity and renewal are all unpublished, so budget nothing until you see a checkout page.

    · Official page

  3. Station three

    Prove it

    A certificate says you passed a test. These say you can do the job.

    A published paper

    Peer-reviewed, or a serious preprint. This is the actual credential of the field and there is no shortcut around it.

    A reproduction of someone else's result

    Reproducing published work — and reporting honestly when it does not reproduce — is respected and genuinely useful to the field.

    An open research artifact

    Code, data or a benchmark that others use. Being cited for a tool is a real entry into the community.

  4. Station four

    Get hired

    Search these exact titles

    • research scientist
    • AI research scientist
    • applied scientist
    • member of technical staff

    Who hires for this. AI labs, university groups, and corporate research divisions.

    Publications and citations are the visible record in this field, which is why we are not pretending a portfolio site substitutes for them.

    On salary

    We don't publish salary estimates. Numbers copied between blogs drift from reality, and a wrong number costs you real negotiating power. When we have a verified public source, it goes here with its date.


Where this route continues

Continues into senior research and lab leadership.

· How we verify