{"id":3700103,"url":"https://alion.io/job/bright-vision-technologies-computer-vision-engineer-bright-vision-technologies","title":"Computer Vision Engineer - Bright Vision Technologies","company":{"id":452187,"name":"Bright Vision Technologies","domain":"brightvisiontechnologies.com","url":"https://alion.io/company/bright-vision-technologies-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"Detectron2","optional":true},{"name":"ONNX","optional":true},{"name":"TensorRT","optional":true},{"name":"Torchvision","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-11-03T19:13:39Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T21:52:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.\nJob Title: Computer Vision Engineer\nLocation: Remote\nPosition Type: Full-time, Direct W2 - [Not open to C2C or 1099]\nSalary Range: $115,000-$165,000 Annually\nExperience Required: 5+ years\nSponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.\nJob Summary\nBright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.\nKey Responsibilities\nDevelop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.\n\nPrepare, annotate, validate, and augment image or video datasets for model development.\n\nTrain, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.\n\nOptimize model inference for accuracy, throughput, latency, and deployment constraints.\n\nIntegrate vision models into APIs, batch workflows, or edge/application environments and document model performance.\n\nRequired Qualifications\nExperience Required: typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.\n\nStrong Python programming and experience with OpenCV and image-processing workflows.\n\nHands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.\n\nUnderstanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.\n\nExperience preparing and analyzing image or video datasets and diagnosing model performance issues.\n\nWorking knowledge of model deployment, REST APIs, Git, and software testing practices.\n\nStrong analytical, debugging, experimentation, and communication skills.\n\nExperience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.\n\nPreferred Qualifications\nExperience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.\n\nExposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.\n\nFamiliarity with cloud ML platforms, data labeling workflows, and model monitoring.\n\nRelevant computer vision, machine learning, or cloud certification.\n\nHow to Apply\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.\nBright Vision Technologies is an Equal Opportunity Employer.\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. 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