Remote Senior ML Platform Engineer — Scale AI Infrastructure

CoinBucha; California; Remote; USD 217,000 - 326,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Family planning

Job summary

Block, Inc. seeks a Senior Machine Learning Engineer for the Platform team. You will design, build, and operate shared ML infrastructure across internal ML teams, with opportunities to mentor others and shape roadmaps. Remote-first with Bay Area context and global scope for production-grade systems.

You will work on feature stores, model hosting, inference, and training pipelines, collaborating with applied ML teams to deliver reliable, scalable solutions.

Qualifications

• 8+ years in software or ML with focus on internal platforms.
• Hands-on ML infra experience (feature stores, rules engines, hosting).
• Deep ML lifecycle understanding from data to production.
• Experience designing large-scale distributed systems.
• On-call and incident response experience.
• Leading complex technical work from unclear starting point.
• Ability to mentor engineers and explain trade-offs.
• Experience with major cloud vendors for large-scale use cases.

Responsibilities

• Design and operate shared ML infrastructure including feature stores and model hosting.
• Lead design and delivery of large-scale distributed systems balancing latency, throughput, and cost.
• Collaborate with ML teams to translate needs into reusable platform capabilities and roadmap.
• Build reliable services with automated testing, monitoring, and safe deployments.
• Participate in on-call rotation, incident response and root-cause analysis.
• Create self-service interfaces, libraries, tools, and docs for production ML.
• Mentor engineers and lead design reviews to improve reliability.

Skills

ML infra

Distributed systems

Mentoring

On-call experience

Cloud platforms

Communication

Problem solving

Tools

AWS

Databricks

Kubernetes

ONNX

Triton

Job description

Block, Inc. seeks a Senior Machine Learning Engineer for the Platform team. You will design, build, and operate shared ML infrastructure across internal ML teams, with opportunities to mentor others and shape roadmaps. Remote-first with Bay Area context and global scope for production-grade systems.

You will work on feature stores, model hosting, inference, and training pipelines, collaborating with applied ML teams to deliver reliable, scalable solutions.