Senior ML Platform Engineer - Remote-First

Block, Inc.; California; Remote; USD 217,000 - 326,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Parental leave

Job summary

Block, Inc. is seeking a Senior Machine Learning Engineer for the Platform team. You will design, build, and operate shared ML infrastructure—feature stores, hosting, training, and evaluation—across multiple products.

You will align with applied ML teams to shape the roadmap and deliver scalable platform capabilities. You will mentor engineers, participate in on-call rotations, and help ensure reliable, production-ready systems.

Qualifications

• 8+ years of software or ML platform experience.
• Hands-on experience building and operating ML infrastructure.
• Deep understanding of ML lifecycles and architectures.

Responsibilities

• Design, build, and operate shared ML infrastructure, including feature stores, rules engines, model hosting, and training infra.
• Lead the design and delivery of large-scale distributed systems with balance of latency, throughput, and cost.
• Collaborate with ML teams to shape roadmap and convert needs into reusable platform capabilities.
• Build reliable services with automated testing, monitoring, and safe deployments.
• Participate in on-call rotations and drive incident response and root-cause analysis.
• Mentor engineers, review designs, and share best practices for reliability.
• Develop self-service interfaces, libraries, and documentation for productionizing models.

Skills

ML infrastructure

Distributed systems

Cloud platforms

Mentoring

Communication

On-call experience

Team collaboration

Tools

Kotlin/Java

Golang

Python

Typescript

React

AWS

Databricks

NVidia Triton

vLLM

ONNX

Job description

Block, Inc. is seeking a Senior Machine Learning Engineer for the Platform team. You will design, build, and operate shared ML infrastructure—feature stores, hosting, training, and evaluation—across multiple products.

You will align with applied ML teams to shape the roadmap and deliver scalable platform capabilities. You will mentor engineers, participate in on-call rotations, and help ensure reliable, production-ready systems.