Transformers
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Description: Transformers are a type of deep learning model that have revolutionized natural language processing by enabling the use of attention mechanisms to better understand the relationships between words in a sentence or text. They are based on a self-attention mechanism that allows them to process variable-length input sequences and produce output sequences of varying lengths.
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Skill Hierarchy: ai-ml-specializations → natural-language-processing → transformers
Demand Analysis (Within Machine Learning)
| Attribute | Detail |
|---|---|
| Demand in the Field |  |
| Demand within ai-ml-specializations | |
| Demand within natural-language-processing | |
| Job Postings % | 3.21% |
| Companies Hiring % | 4.84% |
Note: Stars are allocated based on a relative ranking algorithm, considering job posting percentages for the skill. The percentages indicate how often the skill appears in machine learning job postings and how many companies seek it, based on the subset of the machine learning job market we’ve analyzed.
Top Job Titles
- Machine Learning Engineer ml-engineer
- Senior Machine Learning Engineer (Chat Agent) ml-sr-engineer
- Machine Learning Engineer - Search Relevance ml-engineer
- Software Engineer sw-engineer
- Applied Machine Learning Engineer ml-engineer
- Senior Machine Learning Scientist ml-sr-scientist
- Artificial Intelligence Machine Learning Engineer ai-engineer
- Machine Learning Solutions Engineer ml-engineer
- Senior Machine Learning Research Scientist research-sr-scientist
Top Hiring Companies
- carvana
- dana-farber-cancer-institute
- nvidia
- cresta
- snorkel-ai
- #revecore
- motherduck
- kailua-labs
- deepcure
- apple
Skill Analysis
Combining job market data and community insights, we aim to provide a holistic view of this skill.
- Emergent vs. Legacy Status: Evaluating if this skill is an emerging trend or a lasting mainstay or neither.
- Adjacent & Synonym Skills: Identifying related skills from job postings and alternative names from our community.
- Skill Importance & Transferability: Community insights on the foundational nature and broad applicability of this skill.
- Skill Progression: Prerequisites (Pre Skills) and subsequent skills (Post Skills) as suggested by our community.
Detailed insights coming soon. Stay tuned!
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Skill Voting Guide
To cast your vote for a skill, click on the thumbs up icon to reveal all emoji options:
| Emoji | Skill Category | Description |
|---|---|---|
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Thumbs Up | For skills you have a general interest in. |
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Foundational Skill | For skills you view as foundational. |
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Transferable Skill | For skills you think are valuable across various areas. |
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Emergent Skill | For skills you see as rapidly growing in relevance. |
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Legacy Skill | For skills you believe have stood the test of time. |
Skills receiving the highest votes (over all categories) will advance into our solution pipeline.
Note: If more than one category seems to apply to a skill, pick the one that you feel is the strongest match. If unsure, the first category (Thumbs Up) is the safest choice.
Skill Feedback Guide
For additional feedback on a skill, please reply with specific skills and use the hashtags below to categorize your feedback:
| Hashtag | Description |
|---|---|
| synonym-skill | To suggest a synonymous skill. |
| adjacent-skill | To highlight closely related skills. |
| pre-skill | To suggest skills that should be learned before this one (prerequisites). |
| post-skill | To indicate if this skill serves as a foundation for others. |
When referencing a skill or using any of our hashtags in your feedback, simply start with the # symbol. If the skill is already in our database, it will autofill. If it’s not, we’ll review and consider adding it in the future.
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Last Update: Q3 2023
Data is reviewed and updated on a quarterly to biannual basis, depending on the rate of changes and trends observed in the skills and job market landscape.