16 beste Stellen als machine learning engineer in münchen, by – aktuell auf Personalsuche

Working Student – Battery Science and Data (f/m/d)
Munich Electrification —München
- Vollzeit
- Datenanalyse
- SQL
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Quantitative Developer - Energy Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Head of Data Science
Flexa —München
- 140.000 € – 200.000 € pro Jahr
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Software Engineer, Data Platform
Tools for Humanity —München
- Vollzeit
- Systemdesign
- SQL
- AWS
Senior Applied AI Architect - Automated Driving (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Agile
- Flexible Arbeitszeiten
Staff Data Scientist - Trading (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- AWS
- Machine Learning
Direkt bewerben
Werkstudent (m/w/d) AI-Produkte – Kreditvergleich
CHECK24 —München
- Teilzeit
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
AI Engineer (w|m|d)
BridgingIT GmbH —München
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Data Engineering Consultant (w/m/x) - Germany
Avanade —München
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
8 Tage
AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing
autonomous-teaming —München
- Vollzeit
- Militär
- C++
- Machine Learning
Direkt bewerben
Machine Learning Werkstudent/Praktikum (m/w/d)
Gini GmbH —München
- Teilzeit
- Informatik
- Datenanalyse
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming —München
- Vollzeit
- AWS
- Python
Direkt bewerben
1 Tag
Data Engineers, Analysts & Scientists (w|m|d)
BridgingIT GmbH —München
- Vollzeit
- Azure
- Informatik
- SQL
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Azure Data Factory & Spark Data Engineer (w|m|d)
BridgingIT GmbH —München
- 50.000 € – 79.000 € pro Jahr
- Vollzeit
- Homeoffice
- Azure
- SQL
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Werkstudent für Data Engineering (m/w/d) (in Präsenz)
IfTA GmbH —Puchheim
- Teilzeit
- Informatik
- Englisch
- Java
- Kostenlose Verpflegung
Direkt bewerben

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Based on your search for machine learning engineer jobs.

Research Manager AI & Data, Simulation and Quantum (m/f/d)
TWT Science & Innovation —München
Strong expertise in AI, data-driven engineering, simulation-based design, or computational processes. As a Research Manager, you’ll lead interdisciplinary R&D…
Data Intelligence Specialist - Automotive (M/W/D) - SYSTEMS
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So ermöglichen wir unseren Kunden aus Automotive und Energie, neue Technologien in Rekordzeit und höchster Qualität zur Serienreife zu bringen.
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machine learning engineer jobs near münchen, by

Working Student – Battery Science and Data (f/m/d)

Munich Electrification -
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Homeoffice-Möglichkeit
Firmenevents

Qualifikationen

Internet der Dinge
Datenanalyse
Git
SQL
AWS
Docker
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

About Munich Electrification

Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz.

This is what we stand for:

Technological Leadership: We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead.
Sustainability: We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world.
Team Culture: We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe.
Entrepreneurial Spirit: We embrace change, think big, and push limits with passion.

Your role

We are looking for a working student to join our Battery Science and Data team. You will work directly with our engineers to gain hands-on experience in physics-based modeling, data analysis, and cloud- based simulation. This is your chance to deepen your knowledge of electric vehicle batteries and the simulation frameworks used to model their real-world behavior.

We are hiring several working students for different areas in our team. You will focus on one of them, so you do not need to bring the full list below. Just show us where your strengths are.

Your future tasks at a glance

Support the development and validation of battery cell models and high-level algorithms (e.g., SOx estimation) by running simulations and analyzing results.
Help build and maintain our cloud data platform by structuring raw IoT logs, designing data models, and improving time-series storage as well as query performance.
Support the team with deployments in test cars and monitor OTA (Over-the-Air) updates to ensure data integrity.
Evaluate, implement, and document proof of concepts for future algorithms or new data analysis tools.

What you bring with you

Student in electrical engineering, physics, mathematics, computer science, software engineering, or a similar field.
Confident working in a high-level programming language (Python preferred).
Basic understanding of general electronics, embedded systems, and IoT devices.
Willingness to take responsibility for a project and not to be discouraged by setbacks.
Preference for working in teams and strong communication skills (English and German preferred).
Ideally, you also have Experience with at least one of: data analysis in Python, databases (SQL / time-series) or cloud/infrastructure tooling (AWS, Docker, Git).
Knowledge of dynamical systems (ODEs) or state estimation methods (e.g., Kalman filters).
Initial insights into modeling lithium-ion battery behavior.
Exposure to machine learning frameworks.

Our Offer & Benefits

The chance to be part of a highly innovative, agile, and unique team with prestigious customers in the automotive and battery storage sector. You will gain a deeper knowledge around connected & electric vehicle batteries, battery management and electronics development and strive in an exciting work environment

Benefits (Full-time Employees):

Trust-based working hours and hybrid work
Adequate and competitive compensation
Pension Plan/Bonus
Free access to the fitness center right next to us or subsidized EGYM Wellpass
Free snacks, coffee, drinks and lunch (freshly cooked by our chef) every day
Public transport ticket
Bike-Leasing via Business Bike
Experience various inspiring and fun team events
ME-branded clothing
Option to "work from anywhere" (6 weeks/year)

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in münchen, by

Working Student – Battery Science and Data (f/m/d)

Senior Quantitative Developer - Energy Trading (d/f/m)

Head of Data Science

Software Engineer, Data Platform

Senior Applied AI Architect - Automated Driving (f/m/x)

Staff Data Scientist - Trading (d/f/m)

Werkstudent (m/w/d) AI-Produkte – Kreditvergleich

AI Engineer (w|m|d)

Data Engineering Consultant (w/m/x) - Germany

AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing

Machine Learning Werkstudent/Praktikum (m/w/d)

Group Lead AI Engineering - RoboGym (Mensch)

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Data Engineers, Analysts & Scientists (w|m|d)

Azure Data Factory & Spark Data Engineer (w|m|d)

Werkstudent für Data Engineering (m/w/d) (in Präsenz)

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