14 beste Stellen als lead data engineer – aktuell auf Personalsuche

Senior/Lead ML Applied Scientist
Intuition Machines, Inc. —Österreich
- Homeoffice
- Bachelor
Direkt bewerben
Lead Data Engineer (Partner Company Role)
FYST —Österreich
- Vollzeit
- Homeoffice
Direkt bewerben
5 Tage
Engineering Manager, Core Platform | Remote | Europe
n8n —Österreich
- Vollzeit
- Homeoffice
Quality Engineer - Customer & Projects - Electrical Sector EMEA
Eaton —Österreich
- Master
- Bachelor
Senior/Staff Product Designer
n8n —Österreich
- Vollzeit
- Homeoffice
Client Director (Strategic Accounts)
Complexio —Österreich
- Vollzeit
- Homeoffice
Direkt bewerben
Sales Engineer (DACH Region)
Fortanix —Österreich
- Homeoffice
Direkt bewerben
Electrical Commissioning Manager
Sygna —Österreich
3 Tage
Enterprise Account Executive (m/w/d) – Data & AI
Public Cloud Group Holding GmbH —Österreich
- Vollzeit
3 Tage
Enterprise Account Executive (m/w/d) – Data & AI
Public Cloud Group —Österreich
- Vollzeit
3 Tage
CAD Engineer (f/m/d)
Yara —Wien, W
- Homeoffice
22 Std.
Area/Shift Manager
Amazon Transport Austria GmbH —Klagenfurt am Wörthersee, K
- Vollzeit
- Master
- Bachelor
17 Std.
IoT Support & Integration Engineer (m/w/d)
ToolSense —Wien, W
- Vollzeit
Direkt bewerben
17 Std.
Senior Engineer Process Integration (w/m/div)
Infineon Technologies AG —Villach, K
- Vollzeit
- Bachelor
17 Std.

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Lead Data Engineer (Partner Company Role)
FYST —Österreich
Design the target-state data architecture: Postgres CDC Kafka Snowflake client-facing data products. Start hands-on, then gradually hire and grow a small data…
Direkt bewerben
5 Tage
Engineering Manager, Core Platform | Remote | Europe
n8n —Österreich
Mentor engineers, challenge technical decisions thoughtfully, and maintain a high bar for engineering quality across foundational systems.

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Senior/Lead ML Applied Scientist

Intuition Machines, Inc.
Österreich

Direkt bewerben

Details zur Stelle

Qualifikationen

Bachelor

Vollständige Stellenbeschreibung

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

As an ML Applied Scientist, you will design, implement, and scale machine learning systems that power our products. You’ll work across teams to translate business goals into technical specifications, ensuring our models perform efficiently under real-world constraints. This role combines research, engineering, and mentorship in a fast-paced production environment.

Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.

What you will do:

Build ML models that can scale to millions of requests per second while maintaining performance.
Translate business requirements into technical specifications.
Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively.
Provide technical mentorship to other ML research engineers.
Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability.
Provide technical input to the research roadmap.

What we are looking for:

5+ years of professional experience in applied ML.
Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models.
Experience with large-scale categorical and structured data.
Expertise in real-time ML models, incremental learning, and online learning.
Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
Bachelor’s degree in a technical field (or equivalent practical experience).
Thoughtful, self-directed individual who is comfortable making technical decisions independently.

Nice to Have:

Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus).
Software engineering/development experience with large-scale distributed systems.
Ability to collaborate with ML engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security.

What we offer:

Fully remote position with flexible working hours.
An inspiring team of colleagues spread all over the world.
Pleasant, modern development and deployment workflows: ship early, ship often.
High impact: lots of users, happy customers, high growth, and cutting edge R&D.
Flat organization, direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.

Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

Direkt bewerben

Erweiterte Suche

lead data engineer Jobs

Senior/Lead ML Applied Scientist

Lead Data Engineer (Partner Company Role)

Engineering Manager, Core Platform | Remote | Europe

Quality Engineer - Customer & Projects - Electrical Sector EMEA

Senior/Staff Product Designer

Client Director (Strategic Accounts)

Sales Engineer (DACH Region)

Electrical Commissioning Manager

Enterprise Account Executive (m/w/d) – Data & AI

Enterprise Account Executive (m/w/d) – Data & AI

CAD Engineer (f/m/d)

Area/Shift Manager

IoT Support & Integration Engineer (m/w/d)

Senior Engineer Process Integration (w/m/div)

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