Lead ML Infra Engineer - Scalable AI Platform

Work180; Austin (TX); Hybrid; USD 224,900 - 291,100; Full time

Benefits offered by this job

Virtual-first working model

20 company-wide holidays

Wi-Fi reimbursements

Cell phone reimbursements

Job summary

A tech-focused company in Austin, TX is seeking a Machine Learning Infrastructure Engineer to define and drive the technical architecture for ML systems. This role requires 8+ years of engineering experience, leadership on complex projects, and deep expertise in programming languages like Go or Python. Ideal candidates will have experience with ML infrastructure and distributed systems, along with mentoring capabilities in an engineering context. The role offers a competitive salary and a virtual-first working model.

Qualifications

• 8+ years of engineering experience with significant focus on distributed systems.
• 4+ years of hands-on experience building ML infrastructure at scale.
• Proficient in at least one major programming language, preferably Go or Python.

Responsibilities

• Define and drive the technical vision for ML infrastructure.
• Lead initiatives across engineering and data science teams.
• Architect and oversee implementation of critical ML infrastructure.

Skills

Distributed systems

ML infrastructure

Leadership

Architectural skills

Programming (Go, Python)

Tools

PyTorch

TensorFlow

MLOps tools

Job description

A tech-focused company in Austin, TX is seeking a Machine Learning Infrastructure Engineer to define and drive the technical architecture for ML systems. This role requires 8+ years of engineering experience, leadership on complex projects, and deep expertise in programming languages like Go or Python. Ideal candidates will have experience with ML infrastructure and distributed systems, along with mentoring capabilities in an engineering context. The role offers a competitive salary and a virtual-first working model.