{"id":1959552,"url":"https://alion.io/job/svitla-systems-senior-computer-vision-and-deep-learning-engineer","title":"Senior Computer Vision And Deep Learning Engineer","company":{"id":2216,"name":"Svitla Systems","domain":"svitla.com","url":"https://alion.io/company/svitla-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-14T05:52:18Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":237000,"period":"year","method":"global_role_seniority_cell","sample_n":1986},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"NumPy","optional":false},{"name":"OCR","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-06T14:42:43Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-14T03:51:08Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Svitla Systems Inc. is looking for a Senior Computer Vision and Deep Learning Engineer for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company.\nThe ideal candidate combines strong programming skills, hands-on experience training and deploying deep learning models, and a systematic approach to failure analysis. You will work with scene text and document understanding, practical multi-view geometry, and rigorous benchmarking, as part of a team collaborating on shared codebases and remote projects.\nRequirements\nStrong programming skills in Python and key libraries such as NumPy and OpenCV.\nHands-on experience training and deploying deep learning models in PyTorch.\nSolid background in scene text and document understanding: text detection (segmentation- or regression-based), text recognition (CTC-, attention-, or transformer-based), sequence decoding and confidence calibration, grammar- or lexicon-constrained decoding, and reading-order and layout grouping for key information extraction.\nPractical multi-view geometry experience: local feature detection, description, and matching; homography estimation; robust estimation such as RANSAC and its variants; inlier analysis; and perspective warping.\nAbility to debug chained coordinate-space transforms and polygon geometry.\nSystematic failure analysis skills: building an error taxonomy over a pipeline, turning anecdotal failures into reproducible test cases and quantified failure buckets, and running controlled ablations that isolate the responsible stage.\nExperience with dataset construction and curation, augmentation, synthetic and degraded data generation, domain adaptation, fine-tuning, and hyperparameter sweeps.\nDiscipline to benchmark rigorously before and after every change against tracked baselines.\nProficiency with Hydra for configuration management and Weights & Biases for experiment tracking.\nExperience working on remote GPU servers and clusters and in containerized environments.\nExperience with Git and GitHub for version control.\nA habit of testing numerical and geometric code.\nProven ability to collaborate effectively in a team, particularly on shared codebases and remote projects.\nClear technical writing, including analysis reports that support decision-making.\nResponsibilities\nOwn and improve the OCR pipeline end to end.\nDiagnose failures on real customer images and identify root causes.\nDevelop and optimize text detection, recognition, decoding, and layout components.\nWork with image geometry, feature matching, homographies, RANSAC, and perspective transforms.\nBuild and curate datasets, run augmentations and fine-tuning, and conduct controlled experiments.\nBenchmark changes against tracked baselines and document measurable improvements.\nUse PyTorch, OpenCV, NumPy, Hydra, Weights & Biases, GPUs, containers, and Git.\nCollaborate with the team on shared codebases and provide clear technical 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