> Markdown version of [/jobs/ext/2719723-staff-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2719723-staff-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Machine Learning Engineer

- **Company:** DEEPREACH INC
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Cloud Computing, Computer Graphics, Programming Tools, Distributed Computing Environment, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, Video Editing, Data Processing, Backend, Core Data, Storage Technologies, Data Management, Data Delivery, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.disabledperson.com/jobs/74872339-staff-machine-learning-engineer

## About the Role

* 5+ years building production data infrastructure
 * Strong experience designing scalable backend or data processing systems
 * Experience working with large multimedia datasets
 * Familiarity with distributed data processing and cloud infrastructure
 * Hands-on experience building automated validation or data quality systems
 * Strong software engineering skills (Python and/or Go preferred)
 * Excellent communication skills and ability to work with external partners

Nice to Have

 * Experience with robotics, computer vision, or sensor data
 * Background in video processing or computer graphics
 * Experience building internal data platforms or developer tooling
 * Experience working with imperfect real-world datasets

Not a Fit If

 * Your experience is primarily analytics or business intelligence
 * You prefer narrowly defined implementation tasks
 * You are uncomfortable interacting with customers
 * You have limited interest in infrastructure performance or cost optimization

## Description

We build the infrastructure that processes, validates, and delivers large-scale multimodal data for frontier AI systems. You'll own the core data platform end to end and work closely with customers to ensure reliable, high-quality data delivery., * Own the end-to-end data pipeline from ingestion to customer delivery

 * Build automated validation and quality control systems
 * Design scalable data schemas and maintain compatibility as requirements evolve
 * Optimize storage architecture, performance, and infrastructure cost
 * Build observability and traceability across the data lifecycle
 * Work directly with customer engineering teams to resolve technical issues
 * Scale the platform to support rapid business growth


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline)
- [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters)
- [Using backend languages for frontends: Why ClojureScript is an awesome idea!](https://www.wearedevelopers.com/videos/229-using-backend-languages-for-frontends-why-clojurescript-is-an-awesome-idea)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)