Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop ML and AI solutions for automated driving, from data preparation and training to evaluation and deployment on cloud and edge platforms.
Job Technologies
Your role in the team
- ARRK Engineering is part of the international ARRK group of companies and specializes in product development. Within the ARRK corporate group, we implement product developments from virtual development to prototypes and small-series production.
- You utilize sensor, vehicle, and fleet data to develop, validate, and optimize ML/AI solutions for automated driving. In a specialist role, you design, develop, and improve data-driven software along the ML lifecycle—from data preparation through training, evaluation, and deployment to operation on Edge, Cloud, and On-Premise.
- You bring expert knowledge in ML, Deep Learning, Computer Vision, and Generative AI, evaluate new technologies, and translate them into robust, scalable solutions.
- Through your expertise, self-reliance, and mentoring, you strengthen AI competencies within the team and contribute to the success of strategic development projects.
- Conceptualization and development of sophisticated solutions in the fields of Machine Learning, Deep Learning, Computer Vision, Edge AI, and Generative AI.
- Technical responsibility across the entire ML lifecycle - from analysis and design through training and evaluation to deployment and operation.
- Transition of research, prototyping, and PoC approaches into robust, scalable, and production- or series-ready solutions.
- Development, optimization, and deployment of AI solutions for cloud, on-premise, and edge platforms.
- Analysis of complex technical issues as well as the selection and evaluation of suitable models, architectures, technologies, and solutions.
- Independent identification of new technological potentials as well as initiating and actively driving new AI, research, and innovation topics.
- Observation and evaluation of current developments from research and industry as well as the transfer of relevant approaches to specific use cases.
- Active participation in shaping our technological direction and developing new use cases together with our teams and clients.
- Technical support and mentoring within the team as well as actively sharing knowledge and best practices.
- Hybrid work is possible from home or our office at the Unterschleißheim location.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field; a PhD is desirable.
Qualifications
- Solid knowledge in Computer Vision, e.g., Object Detection, Segmentation, Tracking, Vision Transformer, and multimodal models.
- Knowledge of Generative AI, e.g., LLMs, Vision-Language Models, RAG, Embeddings, and Fine-Tuning.
- Knowledge of MLOps and deployment, e.g., Docker, Kubernetes, MLflow, and CI/CD.
- Knowledge of Azure or AWS as well as on-premise and hybrid infrastructures.
- Excellent knowledge of Python, PyTorch/TensorFlow, and OpenCV.
- Very good software engineering know-how with Git, Linux, and testing; C++.
- Strong analytical and structured thinking skills, as well as the ability to independently understand complex problems and derive appropriate solutions.
- High degree of personal responsibility and initiative - recognizing potential, deriving and developing ideas, and actively driving their implementation.
- Ability to communicate complex technical concepts in a simple, understandable, and engaging manner.
- Very good German and English skills.
Experience
- Several years of experience in Machine Learning and Deep Learning, ideally in production projects.
- Experience with Edge AI and Model Optimization, e.g., Quantization, Pruning, ONNX, CUDA/TensorRT, or comparable technologies.
- Ideally, experience in scientific work demonstrated through publications, patents, open-source contributions, or comparable research activities.
- Initial experience in the professional management of projects and/or teams.
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What we offer
- Exciting projects.
- Flexible working hours.
- Company pension scheme.
- Attractive compensation.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
ARRK Engineering
You are creative and passionate about bringing your ideas and skills to the table? Welcome to ARRK. We offer you perspectives, challenging work tasks, independent working as well as an open and respectful environment for all.
Description
- Founding Year
- 1967
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.5
Engineering
3.3Culture
3.5Career Growth
3.2Workingconditions
4.2
Machine Learning Innovation Engineer Automated Driving
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
