Co-founder & CTO (AI)

Location: Hybrid in London, Boston, or San Francisco; UK-based preferred, with remote work possible for the right person. The role requires full-time commitment from the spin-out, and candidates may be willing to relocate to the UK.

Company

hirify.global is a deep-tech venture studio creating and investing in science-led companies across pharmaceuticals, climate, agriculture, and computation.

What you will do

• Take ownership of the existing AI platform for predicting clinical trial and drug development outcomes.
• Define prediction tasks, connect evidence available at decision time to later outcomes, and build the measurement programme.
• Develop and compare Bayesian, hierarchical, statistical, graph-learning, calibration, and other modelling approaches.
• Design evaluations that address label quality, data leakage, contamination, predictive performance, and calibration.
• Build the system hands-on, set technical priorities, and hire the first technical team after funding.
• Explain the technical approach, evidence, limitations, and development plan to investors.

Requirements

• Hands-on experience defining evaluations and benchmarks, including unreliable labels and leakage-resistant data splits.
• Strong applied statistics, including calibration, confidence intervals, base rates, and noisy or small datasets.
• Working breadth across Bayesian and hierarchical inference, classical statistics, graph learning, probabilistic graphical models, and learned calibration.
• Experience building production LLM systems with agent orchestration, tool integrations, context management, and regression-focused evaluation.
• Hands-on technical leadership, clear communication with researchers and investors, and careful interpretation of uncertainty and limitations.
• Full-time commitment from the spin-out is required; the company is UK-based, prefers UK-based candidates or candidates willing to relocate, and allows remote work for the right person.

Nice to have

• Experience with biological or clinical data.
• Previous founding experience or work at a frontier AI or AI-for-science company.
• Research, software, open-source, evaluation, or benchmarking infrastructure that can be reviewed.

Culture & Benefits

• Genuine co-founder equity stake and technical authority from day one.
• Existing working platform and published scientific result, allowing the measurement programme to begin immediately.
• Access to DSV’s global network of investors, advisors, and industrial partners.
• Access to venture-building tools, resources, and processes.
• Post-spinout support with fundraising, commercial partnerships, recruitment, and team-building.

Hiring process

• Submit a CV, a short note describing what should be measured first and what may be wrong with the mission, and links to built or published work.
• Applications should report benchmark results precisely, including the baseline, data split, and interval width.