The Permanente Medical Group, Inc. (Kaiser Permanente Northern California)
Fremont, California
NEW! NEW!
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Machine Learning / Computer Vision Engineer, Stockholm, Sweden
WorkVis.io
Application
Details
Posted: 02-Apr-26
Location: Stockholm, Sweden
Type: Full Time
Preferred Education:
4 Year Degree
WorkVis.io Inc., headquartered in Pittsburgh, PA, USA, and with an office in Stockholm, Sweden, delivers AI-powered video safety solutions that spot hazards and alert personnel in real-time, improving outcomes in worker safety, productivity, and well-being. For more information visit www.workvis.io.
Responsibilities may include any of the following:
Select, develop, train, and deploy deep neural network architectures using tools such as PyTorch, and train them for object and event detection and classification tasks.
Develop image analysis algorithms and deep learning architectures to solve problems.
Collaborate with team members.
A qualified candidate will exhibit most of the characteristics below:
Passion and interest in working in a fast-paced startup, small-team environment.
Strong analytical and problem-solving skills.
A willingness and ability to innovate and think "outside of the box."
Proficiency in developing deep learning architectures and image analysis algorithms.
Good python programming skills
Strong verbal and written communication skills in English.
WorkVis.io is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. WorkVis.io does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of WorkVis.io. Upon hire, no fee will be owed to the agency, person, or entity. WorkVis.io does not sponsor work visas.
WorkVis.io Inc., headquartered in Pittsburgh, PA, USA, delivers AI-powered video safety solutions that spot hazards and alert personnel in real-time, improving outcomes in worker safety, productivity, and well-being. For more information visit www.workvis.io.