{"id":3456608,"url":"https://alion.io/job/slb-ai-engineer-intern-6-months","title":"AI Engineer Intern (6 months)","company":{"id":811720,"name":"SLB","domain":"slb.com","url":"https://alion.io/company/slb-2","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":76,"open_postings":166,"ghost_share":0,"stale_share":0.946,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-10-08T19:49:06Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T06:26:44Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Job Title:\nAI Engineer Intern (3 or 6 months) - Starting Summer 2027\nProject Title: Proof-carrying Neural Network Controllers\nAbout SLB:\nWe are a global technology company, driving energy innovation for a balanced planet.\nAt SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.\nOur collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.\nOur purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are\nLocation: \nCambridge, UK\nSLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.\nDescription & Scope:\nThis internship will explore proof-carrying neural network controllers. Neural-network-based decision and control policies are deployed together with machine-checkable formal proofs that certify critical safety and mission properties. The project aims to combine Vehicle for specifying and proving high-level requirements over neural networks, Rocq for constructing and checking machine-verified correctness arguments, and Marabou for automated verification of network behaviour under bounded operating conditions.\nOver a 12-month programme, the intern will investigate how mission guarantees can be generated, composed, and attached to trained controllers. The longer-term vision is to establish a practical assurance pipeline where neural controllers can be continuously updated while retaining independently checkable proofs, enabling greater trust, auditability, and certification readiness for autonomous systems operating in real-world environments.\nResponsibilities & Deliverables:\nInterns will be mentored and responsible for developing the direction of the project in a supported-learning environment. They will experience the development of prototype solutions and interact with scientists, domain experts and end-users to enable the testing of the prototypes.\nThe intern will:\nDevelop software that integrates Vehicle, Rocq and Marabou into a verification pipeline that supports the creation and deployment of proof-carrying neural network controllers.\n\nSupport scientists on software development for user-ready prototypes, data analysis and user interfaces\n\nPresent demos to visitors and internal stakeholders\nAcquire and apply software development skills in a supportive environment of continuous learning\n\nRequirements :\nStudying Bachelors, Masters or PhD in Computer Science, AI, interactive theorem provers, neural-networks, PINNs, robotics, cyberphysical systems, neurosymbolic systems or a related discipline\n\nAn interest in formal methods, verification, and safe operation of controllers is preferred.\n\nSLB is an equal employment opportunity employer. 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