Machine Learning Researcher
5 hours ago
We are seeking a highly motivated and talented individual to join our team as a Research and Development intern in the area of computer vision and deep learning. As a member of our team, you will have the opportunity to work on cutting-edge research projects, collaborate with experienced engineers, and contribute to the development of innovative products used by millions of people.
Responsibilities- Participate in research projects focused on deep learning for computer vision applications.
- Design and implement computer vision and deep learning algorithms for analyzing images and videos in real-time.
- Prepare training, validation, and testing datasets, label ground truth, and analyze results.
- Document experimental results and file patent disclosures.
- Collaborate with project team members and engineers across the company to meet research goals.
- Master or PhD candidate in Computer Science or related technical areas.
- Experience in C, C++ programming and Python.
- Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow).
- Experience with OpenCV.
- Good technical judgment and initiative.
- Demonstrated ability to work effectively as a member of a team.
- Strong oral and written communications skills.
HP is a leader in technology and corporate culture, inspiring innovators and entrepreneurs around the globe. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and supports our employees to succeed at all levels.
Equal Opportunity EmployerHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
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