# Senior AI/ML Engineer (F/M/D)

**Company:** [Animore](http://jobs.workable.com/companies/tSaLZx2jAc18bDq1VV8Pah.md)
**Location:** Munich, Germany
**Workplace:** on site
**Employment type:** Full-time
**Department:** Engineering

[Apply for this job](http://jobs.workable.com/view/3ab59f2c-c680-4ab7-b8b9-b8cb8d442625)

## Description

### The Opportunity

As a Senior AI/ML Engineer, you will work at the intersection of foundation models and robotics, developing systems that combine vision, language, and action for embodied intelligence.

You will help bridge cutting-edge AI research with real-world robotic applications, ensuring that large-scale models can operate reliably in physical environments. This role sits at the core of building robots that can perceive, reason, and act intelligently in dynamic settings.

### Your Responsibilities

-   Design and train foundation models that integrate vision, language, and actions for embodied intelligence
-   Adapt LLMs and VLMs for robotic control, planning, and interactive behavior, enabling context-aware decision making
-   Develop AI-driven control policies for manipulation, grasping, and motion planning using reinforcement learning, imitation learning, and foundation model approaches
-   Build modular, scalable, and high-performance data processing, training, and inference pipelines for large-scale datasets
-   Design reproducible workflows for training, evaluation, and deployment, including benchmarking for generalization, safety, and task success
-   Stay current with advances in AI and robotics, translating research into production systems and contributing to papers, patents, or open-source work

### Technologies

-   Python, C++
-   PyTorch (or TensorFlow / JAX)
-   Transformer-based models (LLMs, VLMs, multimodal architectures)
-   Distributed training frameworks
-   Linux, Docker (Kubernetes nice to have)
-   ML pipelines and model deployment systems

## Requirements

### Must Have

-   MSc (6+ years industry) or PhD (2+ years industry) in Computer Science, Robotics, Electrical Engineering, AI, or related field
-   Strong background in machine learning, deep learning, and optimization
-   Hands-on experience with transformer-based architectures (LLMs, VLMs, multimodal models)
-   Strong Python skills and good proficiency in C++
-   Experience with PyTorch (or TensorFlow / JAX)
-   Solid software engineering skills (clean code, testing, system design, CI/CD)
-   Strong mathematical and statistical foundation
-   Experience working in Linux environments and with Docker

### Nice to Have

-   Experience with reinforcement learning or imitation learning
-   Robotics experience (perception, control, or manipulation systems)
-   Experience with distributed training at scale
-   Kubernetes or large-scale deployment systems
-   Publications, open-source contributions, or research background in AI/ Robotics

## Benefits

-   Competitive compensation package
-   Various employee subsidies and perks, including public transportation and Wellpass
-   Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
-   Opportunity to make a real impact by working on cutting-edge robotics and AI systems
-   Fast growth potential in a rapidly evolving company and industry
-   International office environment with English as the official working language

### Recruiting Process

Your recruiting partner for this role is Madhulika (she/her). You can expect a screening call and up to 4 rounds of interviews including an onsite visit to our office in Munich to meet with the team.

We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.

If you need any accommodations during the recruiting process, just reach out to your recruiting partner.