Deep Learning Algorithm Engineer

Responsibilities

Participate in the design, implementation, optimization, and testing of deep learning algorithms.
Deploy deep learning models on terminal devices, optimizing both model performance and computing resource usage to enhance operational efficiency.
Assist the engineering team in implementing and applying models, providing technical support and guidance.
Stay up-to-date with the latest deep learning technologies and trends, conducting research and evaluations to offer innovative ideas and solutions.
Collaborate closely with team members to ensure projects progress smoothly, sharing and discussing research findings.

Requirements

Master’s degree or above, preferably in Computer Science, Mathematics, Electronics, or Communication, though other fields are also considered.
Proficiency in deep learning and hands-on experience with PyTorch; experience in computer vision projects is highly desirable.
Expertise in one of the following areas: Lip synchronization algorithms, digital human projects, or large language models.
Strong programming skills, familiarity with C++/C and Python, and a solid understanding of deep learning and computer vision algorithms.
Ability to independently design and develop algorithms, with strong abstract thinking, logical reasoning, and problem-solving skills.
Prior experience in algorithm development for speech, semantic understanding, or image processing is preferred.
Familiarity with Linux/Unix development environments, with strong knowledge of data structures and algorithms.

To apply for any of the positions listed above, please submit the following to uhang.hu@qq.com:

Resume: Highlight your relevant experience and skills.
Cover Letter: Introduce yourself and explain why you’re a good fit for the role.
Portfolio: We’d love to see your work! Please include a portfolio that showcases your abilities. This can include, but is not limited to, videos, photos, project descriptions, or any other materials that demonstrate your skills and creativity.

Be sure to include the job title in the subject line of your email. We look forward to learning more about you and seeing your work!