Algorithm Engineer

Responsibility

The common responsibilities for this position include implementing large model engineering, researching and applying large model applications, pre-training and fine-tuning large-scale models, designing and optimizing model architecture, and constructing NLP technology platforms and tools. Responsibilities also involve integrating advanced technologies, training and evaluating multimodal models, ensuring continuous improvement of training techniques, managing technical systems, developing and maintaining data pipelines, and ensuring data quality and integrity. Additionally, the role requires analyzing large datasets to extract insights, optimizing algorithms for performance and scalability, and innovating with open-source and commercial models while staying updated with the latest advancements in machine learning and NLP.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%