Autonomous AI Platform Engineer — Equity & Impact

MAI

Mountain View (CA)

On-site

USD 160,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Salary range $160,000 to $225,000
Equity in the company
Health and wellness benefits
401(k) program

Job summary

A cutting-edge advertising technology firm in California is seeking a Machine Learning Engineer to build the infrastructure for autonomous agents. The role involves architecting data systems, collaborating with data scientists on MLOps, and creating user-facing applications. Ideal candidates should have a Master's or PhD in Computer Science, proficiency in Python, and experience with ML frameworks. This position offers competitive compensation and significant ownership of projects within a small, dynamic team.

Qualifications

  • Master’s or PhD's degree in Computer Science or related field, or a Bachelor's with 2+ years experience.
  • Strong proficiency in Python and clean coding practices.
  • Experience with ML frameworks or MLOps infrastructure.

Responsibilities

  • Build the Agent’s Operating System for managing and improving autonomous agents.
  • Architect the foundational data and signal platform.
  • Collaborate with data scientists to develop MLOps for model training.

Skills

Proficiency in Python
Experience with ML frameworks
System-level thinking
Product-minded engineering

Education

Master’s or PhD in Computer Science or related field
Bachelor's degree with 2+ years of experience

Tools

PyTorch
TensorFlow
Kubernetes

Job description

A cutting-edge advertising technology firm in California is seeking a Machine Learning Engineer to build the infrastructure for autonomous agents. The role involves architecting data systems, collaborating with data scientists on MLOps, and creating user-facing applications. Ideal candidates should have a Master's or PhD in Computer Science, proficiency in Python, and experience with ML frameworks. This position offers competitive compensation and significant ownership of projects within a small, dynamic team.
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