Meta
Research Scientist, AI Verification

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Research Scientist, AI Verification
Research Scientist – AI Verification at Meta
About the Role
Meta is seeking Research Scientists to join our AI Verification team, specialising in connecting symbolic verification to neural AI. This role requires expertise in model training, agentic AI, or AI reasoning to advance trustworthy AI systems through formal methods and scalable evaluation.
The team focuses on:
- Improving AI reliability and safety via formal program verification
- Leveraging AI tools to make verification more feasible
- Training, evaluating, and benchmarking advanced AI models and agents
Key Responsibilities
- Drive, lead, and collaborate on cutting-edge research in AI reasoning and verification to advance state-of-the-art methods.
- Partner with verification experts and cross-functional AI teams at Meta to align on research projects and deliverables.
- Set ambitious long-term research goals while breaking them into actionable milestones.
- Execute experimental work, including:
- Designing evaluation setups and benchmarking strategies
- Implementing reusable, modular code
- Running systematic evaluations
- Contribute to research publications and open-source initiatives.
- Mentor teammates and foster collaboration across teams to support shared objectives.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Minimum Requirements
- Currently pursuing or holding a PhD in Computer Science, Artificial Intelligence, or Machine Learning (or closely related field).
- Practical experience with:
- ML model evaluation, training pipelines, or benchmark/agent design and assessment
- A publication record in Peer-Reviewed AI/ML conferences (e.g., top-tier venues).
- Must meet work authorization requirements for the employment location.


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Preferred Qualifications
- First-author publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL isotropic variants, EMNLP).
- Hands-on large-scale AI training infrastructure and data pipeline management.
- Demonstrated ability to design robust evaluation benchmarks for large AI models, including agents.
- Familiarity with formal verification or automatic program analysis techniques.
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