{"id":4023598,"url":"https://alion.io/job/zebra-technologies-computer-vision-algorithm-researcher-senior","title":"Computer Vision Algorithm Researcher Senior","company":{"id":58915,"name":"Zebra Technologies","domain":"zebra.com","url":"https://alion.io/company/zebra-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":38,"ghost_share":0.026,"stale_share":0.816,"repost_share":0.026,"time_to_fill_p50_days":26,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROS","optional":false},{"name":"TFLite","optional":false},{"name":"VLM","optional":false},{"name":"Windows","optional":false},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-10T16:08:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T16:08:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview:\nAt Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.\nBeing part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.\nYou’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.\nCome make an impact every day at Zebra.\nWhat We're Looking For:\nThe senior computer vision algorithm researcher will work to advance exploratory research and development projects in computer vision and machine learning fields to create highly innovative PC-based and smart-camera solutions. The researcher will develop deep learning and edge learning tools, including vision transformers and vision language models, that are Enterprise-grade and ready for real world deployment.Essential Duties and Responsibilities\nDevelopment of computer vision and machine learning algorithms and applications.\nDevelop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems.\nPerform experiments and evaluations to quantify and validate improvements made to existing systems.\nTake responsibility for communicating with different engineers (embedded systems, backend server, computer vision) to continuously improve and optimize implemented algorithms.\nCreate automated software tests and provide support to trouble shoot software issues when needed.\nDocumentation of algorithms.\nResearch fundamental problems and implement algorithmic solutions that are appropriate.\nProvide recommendations and solutions to problems using experience in multiple technical areas.\nReceive little instruction on day-to-day work and general instructions on new assignments.\nMay influence the activities of junior level personnel.\nJob Requirements\nEducation: Masters/PhD in computer vision or machine learning; alternatively a comparable industry career, with significant experience in delivering products using state-of-the-art computer vision and/or machine learning systems\nWork experience: 5+ years\nSolid foundation in computer vision, deep learning and LLM/VLM; key areas of interest include object detection, tracking and recognition, anomaly detection, robot guidance and optical character recognition.\nScripting and prototyping languages: Python, C/C++.\nGeneric packages: PyTorch, TF Lite, OpenCV.\nExperience with Linux, Windows and ROS platforms.\nAbility to grasp new concepts quickly.\nAbility to adapt and use these patterns in innovative ways to develop custom solutions.\nAbility to take initiative on issues and report results instead of waiting for task lists.\nGood presentation skills, both prepared and “on demand” talks.\nTakes ownership of their work, is self-motivated & practical in their problem-solving and thrives in a fast-paced, highly-collaborative applied research environment.\nIncentive Compensation:\nIn addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan.Job Posting Statement:\nTo protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.\nAI Technology Statement:\nZebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. 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