Staff ML Engineer: Systems & Experimentation

Veeda AI; Zürich; On-site; CHF 140,000 - 190,000; Full time

Job summary

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We are a small, fast-moving team tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.

The role focuses on experiment tooling, inference fleet orchestration, CI model evaluation, and scalable data pipelines, with ownership from design to production observability.

Qualifications

• Bachelor's degree or equivalent hands-on experience in CS, engineering, or a related technical field.
• Proficiency in Python or Bash and one compiled language (Java, Rust, or Go).
• Experience in shipping production-quality developer tools.
• Proficient in CI/CD automations (pipelines, runners, deployment).
• Experience building reproducible end-to-end pipelines and knowledge of bit-reproducibility.
• Understanding of event-driven architecture, concurrency models, fault tolerance, and data consistency patterns.

Responsibilities

• Experiment Lifecycle Tracking and Tooling: design, build and deploy tools for run definition, launch, resume and kill; manage experiment databases for version tracking and reproducibility.
• Inference Fleet Orchestration: design and operate the serving control plane; develop cache-aware admission, routing, batching and scheduling policies.
• Model Evaluation in CI: design and operate automatic model checkpoint evaluation systems.
• Data Pipeline Operations: design and operate high-performance distributed backend services for large-scale data processing.
• Visualization Platforms: design observability and dataset visualization platforms with interactive data viz, progress tracking and search.
• End-to-End Ownership: lead projects through full software lifecycle including CI/CD and production observability.

Skills

Python

Bash

Java

Rust

Go

CI/CD automation

Event-driven architecture

Concurrency models

Distributed serving

Education

Bachelor's degree or equivalent

Tools

Argo Workflows

Flyte

Ray

Job description

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We are a small, fast-moving team tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.

The role focuses on experiment tooling, inference fleet orchestration, CI model evaluation, and scalable data pipelines, with ownership from design to production observability.