Skip to content

Instantly share code, notes, and snippets.

@martinbowling
Created September 4, 2024 01:37
Show Gist options
  • Save martinbowling/d7699126bc7bdd00cd6baa71609439cc to your computer and use it in GitHub Desktop.
Save martinbowling/d7699126bc7bdd00cd6baa71609439cc to your computer and use it in GitHub Desktop.
applied jobs category

AI Engineering Job Categories: Skills, Salaries, and Opportunities

1. AI/ML Engineer

Description: AI/ML Engineers develop and implement machine learning models and artificial intelligence systems. They work on cutting-edge technologies like large language models (LLMs), natural language processing (NLP), and computer vision.

Key Skills:

  • Strong programming skills (Python, Java, C++)
  • Deep understanding of machine learning algorithms
  • Experience with ML frameworks (TensorFlow, PyTorch)
  • Data analysis and statistical modeling
  • Cloud computing (AWS, GCP, Azure)

Salary Range: $135,000 - $250,000+ (varies by experience and location)

Sample Positions:

2. Founding AI Engineer

Description: Founding AI Engineers are early employees or co-founders who shape the technical direction of AI startups. They often wear multiple hats, from developing core AI technologies to making strategic decisions about product development.

Key Skills:

  • Expertise in AI/ML technologies
  • Strong software engineering background
  • Leadership and strategic thinking
  • Ability to work in fast-paced, ambiguous environments
  • Product development experience

Salary Range: $150,000 - $300,000+ (often includes significant equity)

Sample Positions:

3. Full Stack AI Engineer

Description: Full Stack AI Engineers combine traditional full stack development skills with AI expertise. They build end-to-end AI-powered applications, from front-end interfaces to back-end ML models.

Key Skills:

  • Full stack web development (JavaScript, React, Node.js, etc.)
  • AI/ML model development and integration
  • Database management
  • API development
  • DevOps and cloud services

Salary Range: $130,000 - $220,000+

Sample Positions:

4. AI Infrastructure Engineer

Description: AI Infrastructure Engineers build and maintain the systems and platforms that support AI/ML workflows. They focus on scalability, performance, and efficiency of AI systems.

Key Skills:

  • Distributed systems
  • Cloud computing and containerization (Docker, Kubernetes)
  • MLOps
  • Performance optimization
  • Data pipeline development

Salary Range: $140,000 - $250,000+

Sample Positions:

5. AI Research Engineer

Description: AI Research Engineers focus on advancing the field of AI through novel algorithms, models, and techniques. They often work on cutting-edge projects that push the boundaries of what's possible with AI.

Key Skills:

  • Deep expertise in machine learning and AI algorithms
  • Strong mathematical and statistical background
  • Publication experience in AI/ML conferences or journals
  • Ability to implement and test novel AI techniques

Salary Range: $150,000 - $300,000+

Sample Positions:

These categories showcase the diverse range of AI engineering roles available in the current job market. Each category offers unique opportunities to work on exciting AI projects across various industries and applications.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment