20 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

Machine Learning Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Vor Ort
- Python
Direkt bewerben
Robotics Engineer – Autonomous excavation
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- C++
Research Engineer - State Estimation and Visual Odometry (ML+classic)
Flexion Robotics —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Direkt bewerben
Research assistant positions
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Forschungserfahrung
- Weiterbildungen
Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)
Imnoo AG —Zürich, ZH
- Teilzeit
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Direkt bewerben
10 Tage
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- CHF 3’000 pro Monat
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1 Tag
Senior Security Engineer, Agentic Red Team, DeepMind
DeepMind —Zürich, ZH
- CHF 174’000 - CHF 253’000 pro Jahr
- 100%
- Master
- C++
- Bachelor
9 Tage
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ETH Zürich —Zürich, ZH
- Teilzeit
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- Python
8 Tage
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- 100%
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- 100%
- Doktorat
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YouTube —Zürich, ZH
- 100%
- Master
- Analysefähigkeit
- C++
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
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NZZ-Mediengruppe —Zürich, ZH
- Homeoffice
- Englisch
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Zühlke —Schlieren, ZH
- 100%
- Homeoffice
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- Englisch
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EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
Doktorand:in (PhD) - Automatische Sprachverarbeitung 100 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
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- Doktorat
- Englisch
- Master
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NZZ-Mediengruppe —Zürich, ZH
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
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u-blox —Thalwil, ZH
- Doktorat
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Forward Deployed Engineer, Applied AI, Google Cloud
Google —Zürich, ZH
- 100%
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- Bis zu 50% Reiseanteil
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AIOps Transformation Lead 80-100%
Abraxas Informatik AG —Flughafen Zürich, ZH
- Homeoffice
- Management-Erfahrung
- Englisch
- Erfahrung in der IT
- Pendlerbeitrag
- Homeoffice-Möglichkeit

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Machine Learning Engineer

Flexion Robotics
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Spark
Google Cloud Platform
AWS
Terraform
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

This is a senior ML engineering role, building 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 architect the pipelines that move data from simulators and robots into model training, optimize training workloads and create the platforms that help 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

Architect training 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 and technologies: compare cloud providers, GPUaaS platforms, and emerging tooling, owning the decisions on what we adopt as we grow our compute footprint.

Requirements

Professional experience building infrastructure, tooling, or platforms for large-scale ML training workloads.
Strong experience with ML data infrastructure: distributed processing, object storage, metadata/catalog systems, dataset versioning, streaming, shuffling, caching, and high-throughput dataloading.
Hands-on experience training, scaling, or supporting distributed ML workloads, with understanding of DDP, FSDP, NCCL, checkpointing, fault tolerance, and training performance bottlenecks.
Experience with cloud infrastructure such as AWS, GCP, or similar, including compute, networking, storage, and cost/performance tradeoffs.
Experience with job scheduling or orchestration systems such as Slurm, Kubernetes, Ray, or similar.
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 job scheduling and orchestration tools: Slurm, Kubernetes, or both.
Familiarity with common data formats (Parquet, WebDataset, LeRobot).
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).

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

machine learning python Jobs in kanton zürich

Machine Learning Engineer

Robotics Engineer – Autonomous excavation

Research Engineer - State Estimation and Visual Odometry (ML+classic)

Research assistant positions

Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)

Internship – 3D Perception, Computer Vision & AI

Senior Security Engineer, Agentic Red Team, DeepMind

Student Assistant in Macroeconomic Forecasting and Data Science

Senior NLP Data Scientist

PhD Position in Vehicle Sensor and Remote Sensing Analysis for Road Safety

Software Engineer III, AI/ML Shopping Creator, YouTube

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

Senior Data Scientist (w/m) 80 - 100%

Senior Data Engineer

Lead Kernel Engineer/Architect

Doktorand:in (PhD) - Automatische Sprachverarbeitung 100 %

Senior Data Scientist (m/f) 80 - 100%

Principal Navigation Software Engineer

Forward Deployed Engineer, Applied AI, Google Cloud

AIOps Transformation Lead 80-100%

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning python in kanton zürich erhalten

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