20 beste Stellen als machine learning engineer in berlin, be – aktuell auf Personalsuche

Senior Machine Learning Engineer (m/f/*)
Peregrine Technologies GmbH —Berlin
- Montag bis Freitag
- C++
- Machine Learning
- APIs
- Flexible Arbeitszeiten
Direkt bewerben
4 Tage
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Berlin
- Vollzeit
- Informatik
- Englisch
- Bachelor
Direkt bewerben
4 Tage
Senior Applied Scientist - Logistics Algorithms (all genders)
Zalando —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
- Umzugskostenzuschuss
8 Tage
Applied Scientist (all genders) - B2B Data Science and Algorithms
Zalando —Berlin
- Vollzeit
- Master
- SQL
- Machine Learning
Applied Scientist, EU International Technologies
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Java
- Master
- C++
Machine Learning Engineer (m/w/d)
Doopic GmbH —Berlin
- Per E-Mail
- Azure
- Englisch
- AWS
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
20 Std.
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Berlin
- Vollzeit
- Informatik
- Forschungserfahrung
- Java
Direkt bewerben
4 Tage
Fraud Data Scientist
Billie —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Principal Applied Scientist (Economics, Experimentation & Platform Analytics) at Zalando Search & Discovery (All genders)
Zalando —Berlin
- Vollzeit
- Doktorat
- Informatik
- Datenanalyse
- Umzugskostenzuschuss
Machine Learning Consultant (f/m/d)
FRAMEN GmbH —Berlin
- 4.166 € pro Monat
- Teilzeit
- Machine Learning
- Python
Direkt bewerben
4 Tage
Principal Applied Scientist / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- SQL
- Umzugskostenzuschuss
Forward Deployed Engineer (all genders)
EXXETA —Berlin
- Englisch
- Master
- Machine Learning
- Homeoffice-Möglichkeit
Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Applied Science Manager / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Umzugskostenzuschuss
Data Engineer (Databricks)
wega Informatik —Berlin
- Vollzeit
- Informatik
- AWS
- Machine Learning
ML Engineer
Reflow —Berlin
- Vollzeit
- Homeoffice
- Machine Learning
- Python
Direkt bewerben
Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Robotics Engineer
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Applied Scientist III, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in berlin, be erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

machine learning engineer jobs near berlin, be

Senior Machine Learning Engineer (m/f/*)

Peregrine Technologies GmbH
Berlin

Direkt bewerben

Details zur Stelle

vor 4 Tagen

Leistungen

Firmenevents
Flexible Arbeitszeiten

Qualifikationen

TensorFlow
PyTorch
C++
Machine Learning
APIs
Keras
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

About Peregrine

Based in Berlin, we're leveraging the power of AI to transform cameras into intelligent devices, enhancing road safety and urban mobility on a global scale, while preserving privacy at all times.

At Peregrine, diversity and international collaboration fuel innovation. We unite the brightest minds with strong academic backgrounds and rich industry experience in robotics and machine learning, spanning from the tech hubs of Silicon Valley to the engineering powerhouses of Europe. Our team boasts alumni from leading automotive giants like Bosch, Volkswagen, IAV, and TomTom and institutions such as the ETH in Zurich. We're on the hunt for brilliant, dynamic, and passionate individuals eager to tackle challenging problems and make a tangible impact.

Tasks

The Role

As a Senior Machine Learning Engineer, you will own the design, training, and on-device deployment of the computer vision models at the heart of our product. You will work at the intersection of research and production, turning state-of-the-art vision techniques into reliable systems that run within strict latency and privacy constraints on resource-constrained edge hardware. Your key tasks will include:

Design, train, and optimize deep learning models for object detection, semantic segmentation, pose estimation, and tracking.
Port and deploy models to resource-constrained edge hardware, achieving single-digit millisecond latency without cloud dependencies.
Build and maintain robust vision pipelines from data ingestion through training to production inference.
Apply model compression techniques such as quantization, pruning, knowledge distillation, and neural architecture search to meet strict performance budgets.
Develop synthetic data and domain adaptation pipelines to close the sim-to-real gap.
Profile inference pipelines end-to-end to identify and eliminate bottlenecks on target silicon.
Translate cutting-edge academic research into highly reliable, production-grade systems.
Collaborate closely with hardware, product, and research colleagues to shape our privacy-by-design architecture.

Requirements

Your Profile

Core Competencies: Computer Vision & Edge AI

Edge AI & On-Device Inference: Expertise in porting, deploying, and optimizing complex deep learning models for local, resource-constrained hardware without cloud dependencies.
Advanced Computer Vision: Deep knowledge of developing vision pipelines for object detection, semantic segmentation, pose estimation, and tracking.
Hardware-Aware Architecture Design: Ability to custom-build network topologies tailored to specific sensors and strict latency budgets, rather than relying on off-the-shelf APIs.
Synthetic Data & Domain Adaptation: Proven experience in building simulation pipelines for synthetic data generation and closing the “sim-to-real” gap using Domain Randomization and GANs.

Technical Stack & Tools

Languages: Advanced proficiency in C++ (for production-grade edge deployment) and Python (for training, research, and data analysis).
AI/ML Frameworks: Extensive hands-on experience with PyTorch, and TensorFlow / Keras.
Optimization & Deployment: Mastery of inference acceleration and model conversion using TensorRT, ONNX, and OpenVINO.
Model Compression: Practical application of quantization, pruning, knowledge distillation, and neural architecture search.

System Architecture & Compliance

Privacy-by-Design Architecture: Designing robust, local AI systems that guarantee data sovereignty and strict GDPR compliance without cloud roundtrips.
Performance Profiling: Deep-dive auditing of inference pipelines to identify bottlenecks and achieve single-digit millisecond latency on target silicon.

Research, Strategy & Leadership

Research-to-Production (R2P): The ability to translate complex, state-of-the-art academic research into highly reliable systems that work in the real world.
AI Strategy & Assessment: Capability to conduct feasibility studies, ROI analysis, and privacy-first architecture blueprinting.

Mindset

Comfort with ambiguity, a problem-solving mindset, and adaptability to rapid change.
Entrepreneurial drive, a strong sense of responsibility, high ambition, and a collaborative approach to achieving goals.
Excellent verbal and written communication skills in English and the ability to effectively collaborate with various stakeholders.
Having work experience in a startup or venture capital is a plus.

We don’t expect anyone to check all these boxes mentioned above! If a few of these points apply to you, we want to talk!

Benefits

Our offering

The opportunity to significantly contribute to the company's growth and success.
A competitive salary.
An evolving role that grows with our company's journey.
We have flexible working hours and a need-based work-from-home policy; all processes are being set up for remote first.
A diverse and inclusive work environment as well as a flat organizational structure, fast decision making within the team, disagree & commit.
We foster a culture where we all learn from each other and value new ideas.
We hold fun team events throughout the year.
We contribute to your monthly public transport ticket.
Free drinks, snacks, and coffee.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in berlin, be

Senior Machine Learning Engineer (m/f/*)

Machine Learning Engineer - Recommendation

Senior Applied Scientist - Logistics Algorithms (all genders)

Applied Scientist (all genders) - B2B Data Science and Algorithms

Applied Scientist, EU International Technologies

Machine Learning Engineer (m/w/d)

Machine Learning Engineer - Fulfillment

Fraud Data Scientist

Principal Applied Scientist (Economics, Experimentation & Platform Analytics) at Zalando Search & Discovery (All genders)

Machine Learning Consultant (f/m/d)

Principal Applied Scientist / Lounge by Zalando (all genders)

Forward Deployed Engineer (all genders)

Data Scientist/ML Engineer (m/f/d)

Applied Science Manager / Lounge by Zalando (all genders)

Data Engineer (Databricks)

ML Engineer

Applied Scientist, Amazon Music - DISCO, Music DISCO

Data Science Consultant - QuantumBlack, AI by McKinsey

Robotics Engineer

Applied Scientist III, AFT AI, Amazon AFT AI

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in berlin, be erhalten

Related Searches

Weitere Job-Standorte erkunden

Tasks

Requirements

Benefits

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt