Remote Senior AI Product Engineer

at Semgrep

Posted 1 day ago 4 applied

Description:

  • Semgrep is on a mission to make it expensive to exploit software by providing industry-leading code, dependency, and secrets scanning.
  • The role involves applying cutting-edge AI/ML tools to build solutions that deliver value for developers.
  • The supply chain product team focuses on helping developers secure their software from vulnerabilities introduced by dependencies.
  • The goal is to simplify supply chain security by identifying the 2% of vulnerabilities that are actually reachable.
  • Responsibilities include integrating AI platform APIs, developing prompt chains for LLMs, experimenting with technology, training ML models, and working on product initiatives from user research to deployment.
  • The role also requires ensuring high-availability operation of services and participating in an on-call rotation.

Requirements:

  • Candidates should have 5+ years of experience writing production software.
  • A curiosity and love for new technologies is essential.
  • Experience with GPT-4, Codex, or other LLMs, as well as ML algorithms or research, is required.
  • Experience in a startup or fast-paced environment is preferred, with comfort in discarding prototypes.
  • Proficiency in Python coding is necessary.
  • Interest in prompt engineering and vector databases is important.
  • Candidates should be excited about building for customers and solving their core problems.
  • Excellent and proactive communication skills, both verbal and written, are required.

Benefits:

  • The salary range for this position is $176,000 - $207,000, with additional equity and benefits.
  • Semgrep offers comprehensive health plans, generous vacation time, and a 401k.
  • Learning stipends are provided to support employee development.
  • The company prioritizes employee well-being and works with individuals to accommodate their needs.
  • Semgrep is committed to fair compensation and regularly updates internal compensation bands based on market data.