{"id":3456821,"url":"https://alion.io/job/slb-software-engineer-intern-6-months","title":"Software 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":75,"open_postings":171,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","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":["Abingdon, 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":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-22T18:53:39Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T11:36:27Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Title:\nSoftware Engineer Intern (6 months) - Starting Summer 2027\nProject Title: Subsurface Monitoring for CO2 Storage & Geothermal\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: \nAbingdon, Oxfordshire\nDescription & Scope:\nJoin a team building cutting-edge software for monitoring CO2 storage and geothermal energy projects - work that sits right at the intersection of subsurface science, machine learning, and the energy transition.\nYou'll help develop tools that let engineers see what's happening deep underground, correlate it with surface data, and track how our monitoring solutions perform in the field.\nDepending on your interests and background, you could work on:\nSurrogate model deployment & execution for subsurface monitoring - taking fast, data-driven models that track CO2 plume migration or thermal fronts (standing in for slow, expensive physics simulations) and running them end-to-end in production: model versioning, automated deployment through pipelines, model execution, and ongoing monitoring. Visualization for enhanced geothermal wells\n\nDesigning intuitive components that turn complex subsurface parameters, correlated with surface measurements, into clear, actionable views for engineers. Reliability & performance monitoring\n\nInstrumenting the end-to-end solution to measure its accuracy, speed, and robustness, and helping make it production-ready.\n\n What you'll learn and take away\nHands-on experience deploying and operating machine learning models (surrogate/reduced-order models) on real geoscientific and physics-based data, using modern MLOps pipelines.\n\nExperience combining subsurface and surface data to build a more complete picture of what's happening in the reservoir.\n\nAn understanding of how subsurface monitoring works in carbon storage and geothermal energy, and why it matters for the energy transition.\n\nPractical skills in scientific data visualization and communicating complex information to technical users.\n\nExposure to what it takes to build reliable, well-monitored software testing, performance measurement, and MLOps-style thinking.\n\nThe experience of working within a professional R&D team, from problem framing through to a demonstrable deliverable you can point to.\n\nRequirements :\nStudying a Bachelors or Masters in Computer Science or a related field\n\nBackend / MLOps - building services and automated deployment pipelines; model versioning and execution.\n\nFrontend - building data-visualization components and interactive views.\n\nSoftware Testing - automated testing, performance measurement, and reliability/monitoring.\n\nMachine Learning (desirable) - a working understanding of ML models is a plus\n\nSLB is an equal employment opportunity employer. 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