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Software Engineer, ML Ops and Platform

Tools for HumanityMunichEngineering
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Salary
Not listed
Job type
Full-time
Posted
3 Sept 2026
Status
Open · checked 8d ago

About this role

Role Overview

Tools for Humanity is seeking a Software Engineer, ML Ops and Platform to join the engineering team in Munich. This full-time role is ideal for an experienced professional looking to own the machine learning lifecycle from data to edge devices within a global biometric network.

Key Responsibilities

Design, build, and operate reliable, observable infrastructure for training, evaluation, telemetry ingestion, and deployment.
Maintain continuous integration and continuous deployment workflows along with automated pipelines.
Create edge-aware rollout services that support staged deployment, A/B experimentation, and instant rollback across the Orb, Orb Mini, and Mobile Apps.
Build secure backend services and APIs that deliver governed datasets and model artifacts at scale.
Establish automated checks, drift detection systems, and real-time model monitoring alerts.
Promote engineering standards centered on data lineage, reproducibility, privacy-by-design, security, and secure edge delivery.
Work alongside machine learning research, product, and firmware groups to improve delivery velocity and feedback loops.

Requirements

Five or more years of experience constructing machine learning infrastructure, data platforms, or large-scale production machine learning systems.
Demonstrated history of shipping platforms and CI/CD pipelines relied upon daily by data or machine learning professionals.
Practical background running large-scale training workloads on multi-tenant GPU clusters to optimize throughput and stability.
Experience establishing versioned dataset and lineage mechanisms with slice-level provenance and governed access to ensure exact reproducibility.
Comprehensive knowledge of container technologies like Docker, orchestration tools such as Kubernetes or EKS, and Infrastructure-as-Code using Terraform, CDK, or Cloudformation.
Proficiency in backend software engineering with Python and/or Go, emphasizing clean and maintainable code.
Familiarity with modern continuous integration, model packaging, and observability methodologies.
Ability to manage production systems, set SLAs, and resolve rollout or incident procedures.
Familiarity with modern Agentic AI development practices.

Skills and Tools

Python
Go
Kubernetes
Docker
Terraform
EKS
CI/CD Pipelines
GPU Clusters

About the Company

Tools for Humanity designs and constructs the underlying technology for World, a real human network created to help individuals navigate the age of artificial intelligence. World provides verification mechanisms such as the Orb and World ID to confirm real, unique people privately while running at a massive international scale across millions of verifications. The organization brings together experts from hardware, software, artificial intelligence, cryptography, and mobile engineering with backing from prominent investors and industry leaders.

How to Apply

Interested candidates should visit the official Tools for Humanity careers page to submit an application for this position.

Skills and tech stack

PythonKubernetesDockerTerraform

Questions candidates ask

Where is this job located?

This position is located in Munich, Germany.

What level of experience is required?

The company requires 5+ years of experience building ML infrastructure, data platforms, or production ML systems at scale.

What technologies and tools are mentioned for the role?

Required and relevant technologies include Python, Go, Kubernetes, Docker, Terraform, EKS, and GPU clusters.

Is this a remote position?

No, this is an onsite position based in Munich.

How can I apply for this position?

You can apply by visiting the official company careers page.

Ready to apply?

The application is on the official Tools for Humanity careers page.

Apply on company site