ML Platform Engineer - Remote

Overview

As an ML Platform Engineer at tvScientific, you will work at the intersection of SRE and low-latency distributed systems to enhance Pinterest’s real-time ML and measurement infrastructure.

In Short

• Join a team focused on real-time ML and measurement infrastructure.
• Design systems for fast and predictable performance under load.
• Work on storage, indexing, and streaming strategies.
• Collaborate with software engineering and SRE partners.
• Improve developer experience for data science teams.
• Upgrade observability tooling.
• Ensure smooth deployments as infrastructure evolves.
• Handle high-performance software challenges.
• Utilize AI to enhance workflows.
• Maintain accountability for final decisions and deliverables.

Requirements

• Deep understanding of Linux.
• Excellent writing skills.
• A systems-oriented mindset.
• Experience in high-performance software (RTB, HFT, etc.).
• Software engineering and reliability expertise.
• Strong observability instincts.
• Ability to critically evaluate AI-assisted work.
• High integrity and ownership of sensitive data.
• Nice-to-haves: Reverse-engineering, Terraform, EKS, MLOps experience.
• Experience deploying distributed systems across multiple clouds.

Benefits

• Equitable and inclusive workplace.
• Flexible working model.
• Potential for equity compensation.
• Supportive work environment.
• Opportunities for personal and professional growth.