Staff ML Engineer — Distributed AI Systems & Tools

Veeda AI; California; Presencial; USD 120 000 - 190 000; Tempo integral

Resumo da oferta

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

The role focuses on designing and operating the experiment lifecycle, inference fleet, model evaluation in CI, data pipelines, visualization platforms, and end-to-end ownership of software projects for scalable AI systems.

Qualificações

• Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.
• Proficiency in at least one scripting (Python or Bash) and one compiled (Java, Rust, or Go) languages.
• Experience in shipping production-quality developer tools.
• Proficient in CICD automations (pipelines, runners, deployment).
• Experience in building reproducible pipelines end to end, and can say precisely which parts of a training run are bit-reproducible, which are not, and why.
• One of the following: proven understanding of event-driven architecture, concurrency models, fault tolerance, and data consistency patterns; experience building large-scale inference control planes or distributed serving infrastructure; experience with multi-node workloads and Slurm; or in-production model evaluation frameworks.

Responsabilidades

• Experiment Lifecycle Tracking and Tooling: Design, build and deploy tools that own how a run is defined, launched, resumed, and killed.
• Inference Fleet Orchestration: Design, build, and operate the serving control plane for large volumes of concurrent client requests across inference clusters; optimize throughput and tail latency.
• Model Evaluation in CI: Design, build, and operate automatic model checkpoint evaluation systems on seeded rollout and policy-success suites.
• Data Pipeline Operations: Design, build, and operate high-performance, fault-tolerant, distributed backend services for large-scale data processing.
• Visualization Platforms: Design, build, and deploy experiment observability and dataset visualization platforms for interactive data visualization, progress tracking, search, and comparison.
• End-to-End Ownership: Lead projects through the complete software lifecycle, including specs, CI/CD, on-call support, and production observability.

Conhecimentos

Python

Bash

Java

Rust

Go

CI/CD automations

end-to-end pipelines

event-driven architecture

concurrency models

Formação académica

Bachelor's degree

Ferramentas

Argo Workflows

Flyte

Ray

Slurm scheduling

Descrição da oferta de emprego

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

The role focuses on designing and operating the experiment lifecycle, inference fleet, model evaluation in CI, data pipelines, visualization platforms, and end-to-end ownership of software projects for scalable AI systems.