AI/DL Engineer – Foundational Models (m/f/d)
Munich
Agile Robots SE
Agile Robots is an international high-tech company and a spin-off of the German Aerospace Center (DLR) looking to push the boundaries of robotics.About the role
The AI team at Agile Robots is looking for a dedicated AI Engineer. The ideal candidate should have at least 2 years of experience in applying deep learning technologies in Industrial setting. Prior hands-on experience in model creation/deployment would be a significant plus.Your Responsibilities
- Develop end-to-end robotic learning approaches using Foundation models.
- Design and implement robot policies that are vision and language conditioned.
- Train large deep learning models for robot learning to perform tasks such as object grasping and navigation in complex environments.
- Collaborate with cross-functional teams to prototype, iterate, and deploy robotic solutions for real-world applications.
- Translate functional and technical requirements into detailed architecture and design.
- Stay up to date with the latest advancements in robotics, deep learning, and computer vision.
- Periodic travel to partners in the US, Europe, or China may be necessary.
Essential Skills
- Minimum of 2 years of professional experience in AI, DL, and/or Robotics.
- Proficiency in Python, or other programming languages.
- Strong experience with PyTorch, TensorFlow, OpenAI Gym, and transformer models like GPT-3/4, BERT, T5.
- Expertise in NLP, LLM/VLM fine-tuning, and data-centric ML.
- Strong understanding of computer vision techniques, including deep learning-based CV.
- Understanding of the SoA work in Vision Language Action Models.
- Experience with data handling, preprocessing, and visualization tools like Pandas, NumPy, Matplotlib, Tensorboard, or Seaborn.
- Master's degree in computer science, automation, robotics, AI, or a related field.
- Strong verbal and written communication. Proactive problem-solving mindset and ability to work in fast-paced environments.
Beneficial Skills
- Thrives in a fast-paced environment: Can swiftly and correctly prototype, debug, test, and iterate over solutions.
- Experience in using Slurm and/or Kubernetes for ML training is a plus.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of explainable AI and model interpretability techniques.
- Experience with software development tools like Git, Docker, or containerization
- Published in eminent scientific publications in Robotics, ML, CV, etc.
- ML (Machine Learning) product deployment experience (e.g., using RESTful API) or other protocols.
- Knowledgeable use of Docker development and/or deployment is an advantage.
What we offer
- Great working environment in an interdisciplinary, international team
- Ability to gain experience in international projects across different industries
- Possibility to visit our subsidiary in Beijing
- Career opportunities within an international and fast-growing environment
- Corporate benefits program that covers health, mobility and learning with up to 100 € per month
- As a startup, we of course also have a rooftop terrace, free drinks & fruits, and regular team events
- Dynamic high-tech startup combined with financial soundness and world class investors
- Challenging tasks and projects
- Great working environment in an interdisciplinary, international team
- Room for creativity and personal development
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure BERT Computer Science Computer Vision Deep Learning Docker GCP Git GPT GPT-3 Industrial Kubernetes LLMs Machine Learning Matplotlib NLP NumPy OpenAI Pandas Python PyTorch Robotics Seaborn TensorFlow
Perks/benefits: Career development Health care Startup environment Team events
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