Large-Scale Model Senior Algorithm Expert/Leader
1 month ago
Job Responsibilities:
- Lead and participate in the design, experimentation, and iteration of large-scale model algorithms, promoting the implementation of algorithms in practical application scenarios.
- Work closely with product, engineering, and other teams to transform algorithmic research outcomes into actual product features, enhancing the technical competitiveness of the company's products.
- Keep track of and research the latest developments in the field of large-scale model algorithms, providing strategic technical guidance and decision support for the company.
- Cultivate and guide team members to enhance the overall algorithm development capabilities and innovation level of the team.
- Participate in internal and external technical exchanges and collaborative projects, increasing the company's visibility and influence in the field of large-scale model algorithms.
- Be responsible for writing and publishing academic papers, patents, and technical documents related to algorithms, showcasing the company's research achievements.
Job Requirements:
- Hold a doctoral degree in computer science, artificial intelligence, mathematics, or related fields.
- Possess a solid theoretical foundation and extensive practical experience in the field of large-scale model algorithms, with internationally leading research outcomes.
- Proficiency in at least one deep learning framework (such as TensorFlow, PyTorch, etc.), with excellent programming and algorithm implementation skills.
- Have good team leadership and project management skills, capable of leading the team to complete complex algorithm development tasks.
- A strong sense of innovation and problem-solving ability, able to propose effective algorithmic solutions to practical problems.
- Good communication skills and team spirit, able to effectively collaborate with team members from diverse backgrounds.
- Priority will be given to candidates with experience in publishing high-level academic papers and applying for patents.
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