19 beste Stellen als data scientist in schlieren spital zh – aktuell auf Personalsuche

ML Infra Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Erfahrung mit Netzwerken
- Vor Ort
Direkt bewerben
Head of Group Capital Steering
SCOR —Zürich, ZH
- Management-Erfahrung
- Master
- Analysefähigkeit
Scientific Advisor, Antibodies
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Doktorat
- SQL
AI Research Engineer - Dexterous Manipulation (Egocentric Models)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Python
Direkt bewerben
Controller in der Vertriebssteuerung (a) 80-100%
Helsana —Dübendorf, ZH
- CHF 114’000 - CHF 130’000 pro Jahr
- Homeoffice
- Homeoffice-Möglichkeit
1 Tag
Functional Consultant & Project Manager
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- Analysefähigkeit
Lead Machine Learning Engineer & Lead Systems AI Engineer
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
6 Tage
Internship - Humanoid Motion Generation (Diffusion or Flow Matching)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Softwareentwicklung
Direkt bewerben
Senior Customer Success Manager - Switzerland
Dataiku —Zürich, ZH
- Homeoffice
- Englisch
- Erfahrung in der IT
- Produktion
Product and Solutions Sales Specialist
Dell Technologies —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Erfahrung in der IT
On-Site IT Support Specialist
Celerion —Fehraltorf, ZH
- 100%
- Oracle
- Kundendienst
- Laborerfahrung
Direkt bewerben
Capgemini ERD - Senior Client Partner - Industry
Capgemini —Opfikon, ZH
- Englisch
- Erfahrung in der IT
- Kommunikationsfähigkeit
- Empfehlungsprogramm
Senior Software Research Engineer
Align Technology —Zürich, ZH
- 100%
- Doktorat
- CAD
- Englisch
Direkt bewerben
Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Forschungserfahrung
- Master
- Python
Direkt bewerben
Senior Software Engineer, Windows/Desktop Applications - Zurich, Switzerland
Speechify —Zürich, ZH
- Homeoffice
- Doktorat
- Windows
- C++
10 Tage
Mid-Senior Level Options Trader
G-20 Group —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Senior Data & AI Consultant/Consulting Lead (Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Python
Direkt bewerben
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben

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ML Infra Engineer

Flexion Robotics
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Spark
Google Cloud Platform
AWS
Terraform
Erfahrung mit Netzwerken
S3
Robotik
Python

Vollständige Stellenbeschreibung

About Flexion

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.

The Role

As an ML Infrastructure Engineer at Flexion, you will help us build out our core compute and data platforms. We’re building the brain for humanoid robots, which involves training large-scale foundational models with vast amounts of data. You'll design training clusters, architect the pipelines that move data from simulators and robots into model training, and create the tooling that lets our AI engineers train, evaluate, and iterate fast.

You'll join Flexion's experienced Infrastructure team (ex-Google, Meta, Amazon) and take significant ownership of the systems behind our data collection, training and experimentation workflows: from strategic infrastructure decisions, cluster orchestration and distributed training optimization to data platforms, CI, and experiment tooling. This is a senior, on-site role at our Zürich office.

Key Responsibilities

Build and operate training infrastructure: design, deploy, and maintain GPU compute clusters for large-scale model training across multiple cloud providers, including job scheduling (Slurm, Kubernetes).
Architect data platforms and pipelines: build the storage, processing, and serving layers that handle the full data lifecycle: from simulator output and robot telemetry to training datasets. This includes building infrastructure with object storage (S3), parallel filesystems (Lustre), and common data formats (Parquet, WebDataset, LeRobot). Use distributed processing frameworks (Ray, Spark) to transform and validate data at scale.
Optimize distributed training: work with our AI engineers to scale workloads across multi-node GPU clusters, profiling and improving throughput, device utilization, and communication efficiency. This includes optimizing our distributed IsaacLab-based sim-to-real training.
Evaluate and adopt new platforms: compare cloud providers, GPUaaS platforms, and emerging tooling, owning the decisions on what we adopt as we grow our compute footprint.

Requirements

3+ years of professional experience building and operating infrastructure for large-scale deep learning systems.
Hands-on experience training or supporting the training of large models (billions of parameters) in distributed multi-node GPU setups, and deep understanding of the underlying concepts (DDP, FSDP, NCCL).
Strong experience with at least one major cloud platform (AWS or GCP), including compute provisioning and networking.
Experience with job scheduling and orchestration tools: Slurm, Kubernetes, or both.
Experience building data pipelines and managing large-scale storage — including object stores (S3 or equivalent) and familiarity with high-performance or parallel filesystems (e.g., Lustre).
Proficiency in Python and working knowledge of PyTorch.
Ownership mindset: comfortable making architectural decisions, setting direction, and delivering independently in a fast-moving environment.

Nice to have

Experience with distributed data processing frameworks (Ray, Spark).
Familiarity with common data formats (Parquet, WebDataset, LeRobot).
Experience with additional GPU cloud providers (Lambda Labs, CoreWeave, RunPod, Nebius, or similar).
Experience managing on-premise compute infrastructure.
Familiarity with robotics simulation environments (IsaacLab, IsaacGym, MuJoCo).
Experience with infrastructure-as-code and configuration management (Terraform, Ansible).
Familiarity with experiment tracking platforms (Weights & Biases, MLflow).
Experience with GPU programming and profiling (CUDA, Nsight)

Benefits

Competitive compensation package
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action

Direkt bewerben

Erweiterte Suche

data scientist Jobs in schlieren spital zh

ML Infra Engineer

Head of Group Capital Steering

Scientific Advisor, Antibodies

AI Research Engineer - Dexterous Manipulation (Egocentric Models)

Controller in der Vertriebssteuerung (a) 80-100%

Functional Consultant & Project Manager

Lead Machine Learning Engineer & Lead Systems AI Engineer

Internship - Humanoid Motion Generation (Diffusion or Flow Matching)

Senior Customer Success Manager - Switzerland

Product and Solutions Sales Specialist

On-Site IT Support Specialist

Capgemini ERD - Senior Client Partner - Industry

Senior Software Research Engineer

Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)

Senior Software Engineer, Windows/Desktop Applications - Zurich, Switzerland

Mid-Senior Level Options Trader

Senior Data & AI Consultant/Consulting Lead (Switzerland)

Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)

Senior Software Engineer - Distributed Systems

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