{"id":3139310,"url":"https://alion.io/job/galaxeye-space-image-processing-intern","title":"Image Processing Intern","company":{"id":59381,"name":"GalaxEye Space","domain":"galaxeye.space","url":"https://alion.io/company/galaxeye-space","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Early Careers","role_family":"Early Careers","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":15500,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"GDAL","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-10-23T07:33:59Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-26T12:46:42Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"The Role\nWe are looking for a motivated Image Processing Intern to join our\ndata processing and algorithm development team. The role involves helping\ndevelop pipelines that convert raw satellite optical data (L0) into L1C and L2A\nproducts. The intern will learn how satellite optical imaging systems work and\napply this knowledge to processing, noise reduction, and sensor simulation.\nKey Responsibilities\n1. Optical Processing Pipeline\nDevelopment:\nHelp develop and test\nalgorithms that convert raw satellite optical data (L0) into calibrated and\ngeoreferenced L1C and L2A products.\nWork on key processing steps\nsuch as radiometric and geometric correction, geolocation, orthorectification,\nand atmospheric correction.\nWrite modular, testable, and\nefficient code for operational pipelines.\n2.Satellite Optical Imaging\nSystems:\nLearn how satellite optical\nimaging systems form images, including the role of optics, detectors,\nelectronics, viewing geometry, and platform motion.\nUse this understanding to\nsupport calibration, correction, reconstruction, and product-generation\nalgorithms.\n3.Noise Modelling and\nMitigation:\nStudy and model common sensor\nnoise, detector variations, defective pixels, quantisation effects, and imaging\nartefacts.\nDevelop and test methods to\nreduce these effects while preserving image quality.\n4.Sensor and Imaging\nSimulation:\nBuild simple, physics-based\nsimulators for image formation, sensor response, sampling, geometry, and noise.\nUse simulated and real data to\ntest algorithms and study the effect of sensor parameters.\n5. Validation, Collaboration,\nand Documentation:\nDefine and use basic metrics to\nevaluate radiometric quality, geometric accuracy, noise, and product\nconsistency.\nCollaborate with the Software,\nRemote Sensing, Payload, and Systems teams to integrate algorithms.\nClearly document code, methods,\nassumptions, experiments, and results.\nRequirements\nPursuing a Bachelor's or Master's degree in Computer Science, Electrical or Electronics Engineering, Aerospace Engineering, Remote Sensing, Physics, or a related field. \nGood foundations in image processing, computer vision, signal processing, and mathematics.\nProficiency in Python and C++, with familiarity with libraries such as NumPy, SciPy, OpenCV, Rasterio, or GDAL.\nBasic understanding of optical imaging, sensors, radiometry, sampling, noise, and calibration.\nFamiliarity with satellite data products, coordinate systems, geometric transformations, geolocation, or atmospheric correction.\nExposure to sensor simulation, scientific programming, or geospatial datasets is desirable.\nCoursework or experience in remote sensing, optimisation, TensorFlow, or PyTorch is a plus.\nBenefits\nContribute to real satellite Earth Observation processing systems. \nLearn from remote-sensing scientists, payload engineers, and software developers.\nGain hands-on experience with optical data, calibration, L0-to-L1C/L2A processing, sensor modelling, and data fusion.\nWork in a dynamic and innovative space-technology startup.","description_format":"text","description_chars":3017,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Manufacturing","Earth Observation"],"lifecycle":[{"event":"open","at":"2026-10-23T07:33:59Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":18,"reasons":["conf:1","velocity","win:early","comp:junior"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/galaxeye-space-image-processing-intern","json_url":"https://alion.io/job/galaxeye-space-image-processing-intern.json","meta":{"generated_at":"2026-10-26T15:33:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20677,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59381},"rest":"https://alion.io/mcp/rest/get_company?id=59381"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgalaxeye-space-image-processing-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgalaxeye-space-image-processing-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgalaxeye-space-image-processing-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/galaxeye-space-image-processing-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgalaxeye-space-image-processing-intern"}]}