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Member of Technical Staff - ML Operations

Veeda AI
Zurigo, ZH

Candidatura rapida

Dettagli della posizione

100%
4 giorni fa

Qualifiche

Bachelor
GitHub
Python

Descrizione completa della posizione

ABOUT US

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

RESPONSIBILITIES

Run Lifecycle & Launch Tooling: Own how a run is defined, launched, resumed, and killed, from typed configs (Hydra, OmegaConf) to pinned container digests to a relaunch that takes one command.
Experiment Tracking & Provenance: Bind every checkpoint to its code commit, config hash, dataset version, and container digest in Weights & Biases or MLflow, so an old run rebuilds from its manifest, not from memory.
Checkpoint Registry & Lineage: Own retention and garbage-collection policy, PyTorch DCP resharding and format conversion, and promotion from raw checkpoint to evaluated artifact that simulation and robotics can safely build on.
Evaluation in CI: Gate each checkpoint on seeded rollout and policy-success suites, run per-change and nightly as Slurm arrays under Argo Workflows, with confidence intervals wide enough to separate regression from eval noise.
Goodput & Incident Response: Carry the pager for live runs (loss spikes, throughput cliffs, data loader stalls), and report goodput against allocated GPU-hours as the number capacity decisions actually run on.

REQUIREMENTS

You have a Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.
You have strong Python and software engineering skills and real CI/CD experience (e.g., GitHub Actions, Buildkite), and you have shipped internal tooling that other engineers chose to keep using.
You have operated multi-node training jobs, carried the pager for them, and decided from telemetry whether to kill, requeue, or let a degraded run ride.
You have built reproducible pipelines end to end, and can say precisely which parts of a training run are bit-reproducible, which are not, and why.
You are rigorous about evaluation methodology, from seeds and sample sizes to confidence intervals, and can tell a genuine regression from a flaky harness.

NICE TO HAVE

You have run experiment tracking at scale, logging video, 3D, and trajectory artifacts rather than only scalars.
You have built evaluation harnesses for generative or embodied models, where quality is a distribution rather than a pass/fail.
You have orchestrated ML workflows with Argo Workflows, Flyte, or Ray, and know where each one breaks.
You are fluent with Prometheus, Grafana, and OpenTelemetry, and instrument a training job before its first outage.
You have built GPU-hour attribution that maps cluster spend back to specific experiments and teams.
You have written a postmortem that changed how a team ran jobs, not just what it logged.
You have contributed to open-source ML tooling, or published on evaluation or reproducibility methodology.

Candidatura rapida

Perfeziona la tua ricerca

back end offerte - zürich

Member of Technical Staff - ML Operations

Working Student – Data, Infrastructure & Integrations and/or AI/ML Application Development (m/f/d) (40-60%)

Head Waiter

Apprenticeship in Application Development, Informatiker:in EFZ Applikationsentwicklung, August 2027

Project Manager

Business Analyst

Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)

Payroll Analyst

Senior Staff Software Engineer, Full Stack

Risk Analytics - Atlas Axais

ROV/Robot Maintenance & Repair Technician - 100%

Senior Software Engineer, Gemini and Search

Head of Procurement Value Delivery

Forward Deployed Engineer

Solutions Architect

Technical Solutions Consultant (Pre-Sales)

Forward Deployed Engineer

Lead AI Solutions Architect, Customer Success

AI Architect (all genders) - BCG Platinion Zurich, Switzerland

Software Engineer III, Open Cloud Networking

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back end offerte - zürich

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di back end nella seguente località: zürich