Research · Paid role

Research Scientist, AI

Lead the research agenda behind Olyxee Document Integrity: verification, evaluation, and reliability for AI systems that take action in production.

ResearchHybrid · JohannesburgStaff · 8+ years of applied research

Compensation

Top-of-band salary, significant equity, performance bonus, conference and learning budget.

What you'll own

  • Set and own the multi-year research agenda on model reasoning, verification, and reliability

  • Design experiments, build evaluation harnesses, and publish work the field builds on

  • Translate research into product capabilities the engineering team can ship

  • Represent Olyxee in the research community through papers, talks, and collaborations

  • Mentor researchers and engineers and raise the technical bar across the company

Who we're looking for

  • PhD in CS, ML, or a closely related field, plus 8+ years of research beyond your doctorate

  • Sustained first-author record at top venues (NeurIPS, ICML, ICLR, ACL) with a public Google Scholar profile

  • Demonstrable citation impact, with work others build on and cite

  • Expert-level Python and modern ML frameworks (PyTorch, JAX); you write research- and production-grade code

  • Experience setting and owning a research agenda end to end, not just executing one

  • Patents, widely used open-source, or shipped research that reached real users

  • Exceptional written communication; you can make complex ideas land for any audience

How we'll evaluate you

  1. 01

    Written application

    Submit the full application below. We read every word. Expect a response within 14 days, even if it is a no.

  2. 02

    Founder screen

    A 30 minute conversation with the founder. We talk about your trajectory, your work, and how you think.

  3. 03

    Take-home exercise

    A paid, role-specific exercise that takes 6 to 10 hours over a week. We pay market rate for your time on this.

  4. 04

    Technical deep dive

    Two hours with two people from the team. We go deep on your exercise, your past work, and a live problem in your domain.

  5. 05

    Final interviews

    Three to four conversations with people you would work with most closely. We make sure both sides have everything they need.

  6. 06

    References and offer

    We contact your references, then move quickly to a written offer with compensation, equity, and start details spelled out.

Apply

The bar is high. Take your time.

Plan for 30 to 45 minutes. Strong applications are specific, written in your own voice, and show real proof of work. Vague answers are the most common reason we say no.

Required for research, ML, and data science roles. Leave blank if it does not apply.

List any professional certifications relevant to this role.

Make sure the link is publicly viewable.

Be specific. Vague answers are the most common reason we say no.

Your application is sent directly to our hiring team. No third parties.