---
title: "ML Infra Engineer, Data Systems"
company: "Physical Intelligence"
company_url: "https://www.remjobs.works/companies/physical-intelligence"
url: "https://www.remjobs.works/job/physical-intelligence-ml-infra-engineer-data-systems-b74f7507-6864-4230-affa-70759417af30"
apply_url: "https://jobs.ashbyhq.com/physicalintelligence/1f6cf3eb-f70f-480b-9fff-befd56c7fd07"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
date_posted: 2026-09-01T01:11:13.230Z
first_seen_by_remjobs: 2026-09-04T17:42:54.284Z
---

# ML Infra Engineer, Data Systems

**Physical Intelligence** · San Francisco

Apply: https://jobs.ashbyhq.com/physicalintelligence/1f6cf3eb-f70f-480b-9fff-befd56c7fd07

## About Physical Intelligence

Physical Intelligence is bringing general-purpose AI into the physical world.

## About the role

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

As an ML Infra Engineer (Data Systems), you’ll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale.

This is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure.

**The Team**

The Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation pipelines, and the tooling that allows researchers and roboticists to work with massive datasets safely and efficiently.

**In This Role You Will**

- Data Ingestion & Processing: Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.

- Batch & Streaming Systems: Operate large-scale batch and streaming workflows over massive datasets.

- Storage Systems: Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.

- Data Lifecycle Management: Build systems for backfills, dataset rebuilds, garbage collection, and large-scale transformations.

- Training-Time Performance: Optimize dataloaders, sharding, prefetching, caching, and throughput to reduce time from data arrival → model training.

- Metadata & Indexing: Build scalable metadata stores for datasets, annotations, and training artifacts.

- Data Movement: Move petabytes efficiently across clusters and environments.

- Operational Correctness: Implement observability, validation, and guardrails to prevent silent data regressions.

- Cross-Functional Collaboration: Work closely with cross-functional teams of researchers, engineers and roboticists to translate evolving data needs into robust systems.**What We Hope You’ll Bring**

- Strong software engineering fundamentals.

- Experience building distributed systems or large-scale data pipelines.

- Comfort reasoning about performance, memory, I/O, and storage efficiency.

- Familiarity with batch and/or streaming processing systems.

- Experience with object storage systems and data format tradeoffs.

- Ownership mindset: design, build, operate, and iterate on systems end-to-end.

- Enjoy working closely with researchers and unblocking fast-moving projects.**Bonus Points If You Have**

- Experience with large ML training pipelines or dataloading systems.

- Knowledge of columnar or custom data formats.

- Experience with systems like ClickHouse, Ray, Flink, Spark, or similar.

- Hands-on experience operating petabyte-scale datasets.

- Debugging and fixing performance bottlenecks in data-heavy systems.*Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.*

---

Source: Physical Intelligence's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/physical-intelligence-ml-infra-engineer-data-systems-b74f7507-6864-4230-affa-70759417af30