(Senior) AI Engineer (m/f/d) - Verification & Validation

 

Join us as an AI Engineer (m/f/d) in our Verification & Validation team and help shape the future of autonomous mobility!

As the Verification & Validation team, we ensure that autonomous driving systems are safe, reliable, and ready for the road. We bridge simulation, testing, and real-world validation through AI-driven solutions and machine learning models. Our mission is to assess system performance, simulation fidelity, and data quality at scale.

We're a diverse group with backgrounds in machine learning, AI research, computer vision, and autonomous systems. We value innovation, collaboration, and the drive to push the boundaries of what's possible in autonomous vehicle validation.

What you will do

Be an AI engineer!

• Design, validate, and deploy AI-driven solutions for assessing autonomous driving systems, including scenario detection, anomaly detection, roadmanship scoring, and predictive analytics.

• Build scalable ML/AI solutions for simulation validation, perception analysis, behavior modeling, and scene understanding.

• Develop models for digital twin generation (vehicle models, 3D environments, sensor models) to support high-fidelity testing.

• Integrate ML models into cloud-based analytics pipelines (e.g., AWS SageMaker, Bedrock) for automated evaluation and monitoring.

• Work with multi-modal sensor data (camera, lidar, radar, GPS) to build robust models that generalize across diverse scenarios.

Be a researcher!

• Experiment with cutting-edge AI techniques (deep learning, transformer models, computer vision, GenAI) to solve novel validation challenges.

• Assess simulation fidelity and realism through AI-driven analysis of synthetic vs. real-world data.

• Develop metrics and methods to evaluate model performance, robustness, and scenario coverage.

• Contribute to internal research and share findings through documentation, presentations, and knowledge-sharing sessions.

Be a team player!

• Collaborate closely with V&V engineers, data scientists, and simulation teams to understand requirements and deliver AI solutions.

• Support cross-functional teams in integrating AI models into production systems and validation workflows.

• Mentor team members on ML best practices, model development, and deployment strategies.

• Contribute to continuous improvement of AI/ML infrastructure and methodologies.

 

What will help you to fulfill your role 

• You have a strong background in machine learning, AI, or computer science, with hands-on experience building and deploying ML models.

• You're proficient in Python and ML frameworks such as TensorFlow or PyTorch. Experience with deep learning, computer vision, and transformer models is highly valued.

• You have experience with MLOps practices—model training, deployment, monitoring, and CI/CD for ML systems. Familiarity with cloud platforms (AWS SageMaker, Bedrock, or similar) is a plus.

• You understand the full ML lifecycle from problem formulation and data preparation to model evaluation and deployment. You know how to build scalable, production-ready AI solutions.

• You have a collaborative and innovative mindset, comfortable working with stakeholders to translate business problems into ML solutions.

• You're curious and driven, excited about exploring new AI techniques and applying them to real-world challenges in autonomous driving.

Nice to have:

• Understanding of autonomous driving systems, V&V processes, or safety-critical AI applications.

• Experience with simulation platforms (Unity, Unreal, Carla, VTD) or digital twin development.

• Knowledge of safety standards (ISO 26262, ASPICE) or EU regulations for autonomous vehicles.

• Experience with feature engineering from multi-modal sensor data (camera, lidar, radar).

• Familiarity with GenAI, federated learning, or multi-agent systems.

• Background in computer vision, scene understanding, or perception systems.

• You're comfortable working in a multi-national team with occasional travel for meetings (e.g., PI Planning, ~1x/month). You value diverse perspectives and enjoy working in a hybrid environment where experimentation and learning are encouraged.

• Most importantly, you're excited about shaping the AI backbone of autonomous vehicle validation.

 

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Our benefits in a nutshell

• Competitive salary (including bonus)  
• Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration! 
• Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.) 
• Budget and monthly expense allowance for home office setup 
• Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
• Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
• Subsidized fitness club membership or bike leasing 
• Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes 
• Mental health support, 1:1 sessions with external professionals and mental unload workshops 
• 30 vacation days, sabbatical and unpaid leave option 
• Relocation support with service provider (visa, administration, etc.) 
• Dog-friendly offices

For student & internship positions, we have an adjusted set of benefits. You can find them here. 

Be who you are!

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

Our Future Work model

Since we love to collaborate, it is clear to us that we don't want to become a fully remote company, but we also don't need to spend every day of the week in the office to do a great job.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.

Get more insights on how we work on our blog to find out more about our hiring process or follow us on Instagram for a look inside MOIA. 

Who we are

At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving. 

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission. 

MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

Your application to MOIA

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.