Software Engineer, ML Ops and Platform at World · Web3Vacancy
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Software Engineer, ML Ops and Platform

Office
Market range (est.) $90k–$180k
◆ 6/10 aitechOtheroffice
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About this role

Join World as a Software Engineer, ML Ops and Platform to build a planet-scale biometric recognition system using cutting-edge Machine Learning. Work on production-grade pipelines and collaborate across teams to innovate in ML.

Description

About the Company: Tools for Humanity (TFH) designs and builds technology behind World. World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. The TFH and World tech stacks make this possible: the Orb verifies real, unique people, World ID proves it privately, and World App puts these capabilities, and more, in people’s hands. Together, they add a human layer to an AI-driven internet. World is already running at a global scale. More than 17 million people across 160 countries have verified with World ID, and more new Orb verifications take place each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can’t replicate. Founded in 2019, TFH has more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We’re backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. TFH and World have been featured on the cover of [TIME Magazine](https://time.com/7288387/sam-altman-orb-tools-for-humanity/), highlighted in [Fast Company’s](https://www.fastcompany.com/91411606/fintech-blockchain-next-big-things-in-tech-2025) Next 5 in Fintech, and explored in a [Bloomberg deep dive](https://www.bloomberg.com/news/features/2024-08-12/how-worldcoin-is-building-digital-ids-to-combat-the-ai-apocalypse). [The New York Times](https://www.nytimes.com/2025/05/03/technology/world-eye-scanning-crypto-orbs-launch-in-us.html), [Bankless](https://www.youtube.com/watch?v=KUcjtFOHgNc) and [TechCrunch](https://techcrunch.com/2025/04/30/world-partners-with-tinder-visa-to-bring-its-id-verifying-tech-to-more-places/) have all recognized our collective progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the [Time AI 100](https://time.com/collections/time100-ai-2025/). Learn more about the newest product launches from our [Liftoff](https://world.org/liftoff) event.

Responsibilities

Key Responsibilities

  • Design, build, and operate reliable, observable infrastructure for training, evaluation, telemetry ingestion, and deployment.
  • Maintain CI/CD workflows and automated pipelines.
  • Edge‑aware rollout services with staged deployment, A/B experimentation and instant rollback across Orbs, Orb Mini and Mobile Apps.
  • Develop secure APIs and backend services that expose governed datasets and model artefacts at scale.
  • Implement automated checks, drift detection, and alerting for real-time model monitoring.
  • Champion best practices in data lineage, reproducibility, privacy‑by‑design, security and secure edge delivery.
  • Collaborate across ML research, product, and firmware teams to streamline delivery and feedback loops.
Requirements

About You

  • 5+ years building ML infrastructure, data platforms, or production ML systems at scale.
  • Track record of delivering platforms and CI/CD pipelines used daily by ML or data teams.
  • Hands-on experience running large-scale training on multi-tenant GPU clusters to maximize throughput and reliability.
  • You’ve built versioned dataset & lineage systems with slice-level provenance and governed access, making every model reproducible to the exact data, features, code, and config used.
  • Deep understanding of containerisation (Docker) and orchestration (Kubernetes/EKS) plus Infrastructure‑as‑Code (Terraform/CDK/Cloudformation).
  • Strong backend engineering skills in Python and/or Go; you value clean, maintainable code.
  • Deep understanding of modern CI/CD, model packaging, and observability practices.
  • Comfortable operating production systems, defining SLAs, and handling rollout or incident workflows.
  • Comfortable using modern Agentic AI development.
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★★☆☆☆☆ 6/10
PostedSep 3, 2026 (4d ago)
Tags & Skills
aitechOtheroffice
Tech Stack
Machine LearningCI/CDPythonGoDockerKubernetesTerraformCloudformation
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