We are looking for excellent Computer Vision engineers who can take initiatives, design, and develop advanced machine learning solutions, and deploy them directly to the given platform. A talented machine learning engineer with expertise in computer vision and can apply different kinds of machine learning models to a diverse range of exciting and impactful client projects especially human detection, face tracking and augmented reality with human face, and augmented reality in Indoor/Outdoor environment. To be successful in this role, you need a strong machine learning experience with Computer Vision background, experience in deploying models to the cloud such as AWS, solid software development skills and docker, a love of learning, and to collaborate well in multi-disciplinary teams.
A successful candidate will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale. Candidate will conduct research on deep learning for application processors and multimedia processors with applications such as computer vision, or image and video processing. Candidate will work as part of a team on the system design, implementation, and verification of algorithms for application processors and multimedia processors. As a member of the team, you will develop innovative and sophisticated solutions to some of the most complex strategic business challenges. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
⃟Lead to build the trust and safety machine learning production models.
⃟Work on image classifiers, face detection and tracking, augmented reality, object detectors, video understanding models, multi-modal classifiers, human behavior and expression classification, face identification, and eyes tracking, , etc.
⃟Work with engineering teams to implement model pipeline and deploy the services with training automation.
⃟Collaborate with product teams to define objectives and improve trust and safety strategy.
⃟Collaborate with data analysts to understand and find data patterns.
⃟MS/PhD degree with 2+ years’ relevant experience.
⃟Hands on experience in one or more of the areas for still images and videos processes.
⃟Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms.
⃟Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems.
⃟Experience with Cloud platforms such as AWS, Azure, Google Cloud Platform (GCP).
⃟Excellent problem solving and analytical skills
⃟Excellent communication and collaboration skills with strong verbal and written skills.
⃟Passion for delivering business impact
Good to have:
⃟Experience in trust and safety machine learning models.
⃟Publications in top conferences.
⃟Experience in using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications.
⃟Experience and good understanding of the math behind machine learning classification and regression algorithms.
Job Types: Full-time, Permanent
Experience:
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