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

Machine Learning Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Vor Ort
- Python
Direkt bewerben
Research assistant positions
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Forschungserfahrung
- Weiterbildungen
22 Std.
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- 100%
- Homeoffice
- PMP
- Englisch
- Master
Direkt bewerben
13 Tage
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- Teilzeit
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- 100%
- Informatik
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- Master
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Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- C++
- Bachelor
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ETH Zürich —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- Bachelor
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- 100%
- Doktorat
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PwC —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Forschungserfahrung
Doctoral position in social indicator development with text-based and spatial data
ETH Zürich —Zürich, ZH
- 100%
- Datenanalyse
- Englisch
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Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
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- Homeoffice-Möglichkeit
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u-blox —Thalwil, ZH
- Homeoffice
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- Master
- Analysefähigkeit
- Homeoffice-Möglichkeit
Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports
ETH Zürich —Zürich, ZH
- 100%
- Englisch
- Master
- Scripting
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ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
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Robotics Engineer – Autonomous excavation
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
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- C++
20 Std.
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AXA Insurance AG —Winterthur, ZH
- 100%
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- Master
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9 Tage
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Senior Solutions Engineer
Squirro —Zürich, ZH
- 100%
- Homeoffice
- Master
- Datenbanken
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Direkt bewerben

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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, 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 zürich, zh

Machine Learning Engineer

Research assistant positions

Prinicipal - Industry Advisory

Data Scientist Analytics Non-Financial Risks (w/m/d)

Scientific Advisor, Antibodies

PhD in Network Science: Modeling of Animal Networks

Software Engineer III, AI/ML, DSP/HTP Optimisation

Robotics Software Engineer

PhD Position in Human–Computer Interaction and Extended Reality in Architectural Design and Fabrication

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

AI & Data Consultant – Tax and Legal Innovation

Doctoral position in social indicator development with text-based and spatial data

Senior Data Engineer

Senior Digital Signal Processing Engineer

Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports

Senior NLP Data Scientist

Robotics Engineer – Autonomous excavation

Senior (Gen)AI Engineer (all genders)

DevOps Engineer /Deployment Manager

Senior Solutions Engineer

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

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