--- title: 'Research Engineer Intern at Hiverge Ltd' canonical: 'https://feeny.ai/job/research-engineer-intern-hiverge-ltd-cambridge-atpve6xhnjkr' type: 'job' last_seen: '2026-09-06' --- # Research Engineer Intern at Hiverge Ltd - **Company:** Hiverge Ltd - **Location:** Cambridge, MA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-03 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/hiverge/ea6edea4-5216-4cdc-b368-909ba91c78a3 ## Job description ## WHO WE ARE At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems. Our founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics. If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you. ## ABOUT THIS ROLE This role designs, trains, and evaluates LLM‑centric systems. The work blends implementation, experimentation, and benchmarking. As a Research Engineer Intern you will: - Support the development of scalable experimentation foundations with strong reproducibility and observability - Help create and improve robust prompt and code-selection tooling. - Assist in optimizing our system’s inference and infrastructure for better efficiency. - Work with the team (ML engineers and researchers) to implement new ideas. - Engage with the research community to advance the state of algorithmic discovery. ## QUALIFICATIONS - Masters degree in Computer Science, Engineering, related field, or equivalent experience. - Strong coding skills in Python and experience with PyTorch/JAX and modern LLM tooling for inference and fine‑tuning. - Experience in applied research engineering, demonstrated by impactful academic projects or internships in LLMs, search/RL, or compilers/verification. - Exposure to evaluation frameworks, unit/property‑based testing, and performance profiling. ## WHAT SETS THE CANDIDATE APART - Contributions to open research or community tooling. - Familiarity with algorithm design, and practical understanding of reinforcement learning, evolutionary methods and optimization methods. We offer competitive compensation and a stimulating work environment, with the opportunity to contribute to the future of generative AI. Outstanding interns may be considered for a full-time Research Engineer position upon completion of the internship. ## About Hiverge Ltd ## Company Overview - **One-liner**: Hiverge builds an AI discovery engine that automatically writes breakthrough algorithms for the world’s most critical optimisation problems. - **Entity Type**: Private (Seed stage) - **Headquarters**: Cambridge, United Kingdom - **Founded**: 2025 - **Founders**: Alhussein Fawzi (CEO), Hamza Fawzi (Chief Scientist), Bernardino Romera Paredes (CTO) – all former Google DeepMind and University of Cambridge researchers. ## Core Business - **Primary industry**: AI-driven algorithmic discovery / program synthesis / optimisation software - **Target customers**: B2B – enterprises with complex planning, resource allocation, supply chain, and AI training optimisation challenges (e.g., Airbus) - **Mission**: “Algorithmic superintelligence – an AI discovery engine that writes breakthrough code and algorithms, empowering every company with superhuman algorithms that drastically optimize their operations.” ## Products & Services - **[The Hive](https://www.hiverge.ai)**: A platform that deploys multiple AI agents to automatically discover and write algorithms tailored to a user’s specific problem. Combines language models with advanced program synthesis techniques (e.g., AlphaTensor, FunSearch). Delivers optimised code for tasks such as sequential planning, machine learning training acceleration, and combinatorial optimisation. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding – $5.0M (Seed round, announced October 2025) - **Notable Investors/Partners**: Lead investor: Flying Fish Partners. Also Ahren Innovation Capital, 10x Founders, Alpha Intelligence Capital, 1st Kind, StemAI, Vela Partners, Cur8 Capital, and **Jeff Dean** (Google DeepMind/Senior Fellow). Strategic partner: Airbus (won the Airbus Beluga scalability challenge). - **Growth Signals**: - 12 employees (as of mid-2026) with team members from Google DeepMind, University of Cambridge, Monash University, and others. - Proven results: discovered algorithms that beat state-of-the-art on Airbus planning problems (1,000× faster), CIFAR-10 training (20% speedup), and GPT-2 training (1.25% improvement). - Early access program for selected customers; waitlist open. ## Competitive Advantages - **Founding team pedigree**: Co-developers of AlphaTensor, FunSearch, and early stages of AlphaEvolve – world-class algorithmic discovery research. - **Proven, measurable results**: Demonstrated speedups on real industrial and ML benchmarks (Airbus, CIFAR-10, GPT-2) without domain-specific hints. - **Unique approach**: Combines LLMs with advanced search and program synthesis, not just generic AI fine-tuning; algorithms are tailored per customer. - **Backing by Jeff Dean** and top AI venture funds signals strong credibility. ## Strategic Focus - **Current priorities**: Scaling the Hive platform to more customer verticals (supply chain, AI training, robotics, aerospace). Building out the team of researchers and engineers. Moving from early access to broader commercial availability. - **Direction**: “Algorithmic superintelligence” – fully autonomous discovery of novel, high-performance algorithms across industries. ## Why Work Here - **Culture**: Research-intensive, deeply technical environment with roots in world-class AI research. Emphasis on rigorous methodology and real-world impact. - **Work policy**: In-office (Cambridge, UK). All current job postings specify on-site work. - **Team size**: Small (~12 people) – opportunity for high ownership and influence. - **Notable perks**: Work alongside former DeepMind/Cambridge researchers; early-stage equity; chance to shape a company from the ground up. - **Engineering culture**: Focus on program synthesis, distributed systems (Kubernetes, MLflow, Postgres), and cutting-edge AI. Open to researchers and platform/product engineers. ## Sources 1. [hiverge.ai](https://hiverge.ai/) – Official website 2. [linkedin.com](https://www.linkedin.com/company/hivergeai) – LinkedIn company page 3. [hiverge.ai/blog](https://www.hiverge.ai/blog/introducing-hiverge) – Blog: “Introducing Hiverge: our mission and early results” 4. [builtin.com](https://builtin.com/company/hiverge) – Built In company profile ## Other roles at Hiverge Ltd - [Product Engineer](https://feeny.ai/job/product-engineer-hiverge-ltd-cambridge-51vb4aszwgw1) — Cambridge, MA - [Platform Engineer](https://feeny.ai/job/platform-engineer-hiverge-ltd-cambridge-pxe38w5j2046) — Cambridge, MA - [Research Engineer](https://feeny.ai/job/research-engineer-hiverge-ltd-cambridge-tk60j4rpb7yw) — Cambridge, MA - [Research Engineer Intern](https://feeny.ai/job/research-engineer-intern-pluralis-research-australia-62bya07kzppe) — Australia