Staff Applied Ai Engineer, Enterprise Genai

Scale AI

San Francisco, CA, US
Base: $216,000 - $270,000 usd; equity: subject to ...
On-site
Enterprise customer problems
Build advanced ai agents
Multimodal functionality
At Scale, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles

Job Summary

  • At Scale, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles.
  • As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs, ranging from cybersecurity firewalls to genomic model applications.
  • Compensation packages include base salary, equity, and benefits, with a base salary range of $216,000 - $270,000 USD for this full-time position in San Francisco, New York, and Seattle.

Matching Summary

At Scale, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles.

Salary

Base: $216,000 - $270,000 USD; Equity: Subject to Board of Director approval; Benefits: Comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, commuter stipend

Skills & Requirements

Must-have

  • Enterprise customer problems
  • Build advanced AI agents
  • Multimodal functionality
  • Tool-calling
  • Gather business requirements
  • Translate requirements to solutions
  • Customer onsite collaboration
  • Push production code
  • Write and debug code
  • Learn new technologies quickly

Nice-to-have

  • State of the art research
  • AI to accomplish business goals
  • Data-driven approach
  • Iterating on machine learning models
  • Cloud technology stack
  • Develop ML models in cloud
  • Proficiency in Python
  • Common libraries (numpy, pandas)
  • Software engineering best practices
  • Generative AI production use cases
  • State of the art LLMs

Key Requirements

  • 7+ years of full-time engineering experience
  • Bachelor’s degree in Computer Science, Mathematics, or quantitative field
  • Experience working with cloud technology stack (AWS or GCP)
  • Proficiency in Python

Work Rights

Not specified

Tailored Resume

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