hyperexponential - Research Engineer - AI Team
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Requirements
• (or have some intuition on): • Worked on applied AI or ML problems where you had to structure your thinking, test hypotheses, and draw conclusions from messy or incomplete data - doesn't need to be formal research, but you should be able to show how you approached ambiguity methodically • Had some exposure to evaluating AI or ML systems - whether that's writing test suites, tracking model performance metrics, or thinking critically about why a model fails in certain scenarios. We're not looking for a fully-formed eval framework, but you should understand why this matters • Worked in or alongside production AI systems - enough to understand the gap between a prototype that works in a notebook and something customers actually depend on. Direct production experience is a plus, but strong intuition from adjacent work counts • Communicated technical findings clearly to non-technical audiences - whether that's a product manager, a stakeholder, or a customer. You don't need a track record of boardroom presentations, but you should be comfortable translating what you found into what it means • Written Python comfortably across the AI/ML stack - data processing, model evaluation, experimentation. You don't need to be a research ML expert, but you should feel at home in the tools • Been part of cross-functional teams where research or analysis fed into real product or engineering decisions - comfortable sitting at the boundary between exploration and execution, even if you're still developing confidence there • YOU'RE UNLIKELY TO THRIVE HERE IF • You prefer pure research environments with long timelines and academic publication goals, rather than applied investigation where findings must land quickly and influence real product decisions • You need clearly defined problems with established methodologies, rather than designing your own evaluation approaches for AI systems operating in novel, complex domains • You view research as separate from implementation, rather than seeing your work as directly enabling Engineering teams to ship higher-quality capabilities faster
Responsibilities
• Design and maintain evaluation frameworks that enable consistent, automated measurement of AI agent performance across hundreds of insurance scenarios, creating the testing infrastructure that catches regressions before customers do • Conduct structured technology assessments that evaluate emerging AI capabilities against specific product needs, producing technical briefs and competitive analyses that inform roadmap decisions worth millions in engineering investment • Run disciplined experiments that decompose ambiguous research questions into testable hypotheses, using statistical rigour and practical engineering insight to generate reliable findings under tight delivery timelines • Build comprehensive test suites covering actuarial edge cases, underwriting workflows, and pricing logic that stress-test AI systems in ways that mirror real customer usage, improving agent reliability by 40%+ through targeted improvements • Translate research findings into engineering action by identifying performance gaps, recommending technical approaches, and working alongside Product and Engineering to turn insights into shipped capabilities customers trust • Maintain domain fluency in insurance by staying current with actuarial concepts, underwriting practices, and pricing methodologies, ensuring research outputs respect the complexity of the industry we're transforming
Benefits
• At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. • Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. • Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your Talent Partner will be able to share more details about this. • £5,000 training and conference budget for individual and group development. • 25 days of holiday plus 8 bank holidays (33 days total). • Company pension scheme via Penfold. • Mental health support and therapy via Spectrum.life http://Spectrum.life. • Individual wellbeing allowance via Juno. • Private healthcare insurance through AXA. • Income protection and Life Insurance. • Cycle to Work Scheme. • Top-spec equipment (laptop, screens, adjustable desks, etc.). • Regular remote and in-person hackathons, lunch and learns, socials, and game nights. • Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry https://theministry.com/. • Exceptional opportunities for personal development and growth as we build something remarkable together. • OUR COMMITMENT TO DIVERSITY • hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. • Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. • If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. • If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. • For more information about applying and to view other opportunities, you can visit our careers page. • Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
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