Requirements

Advanced degree (M.S., Ph.D.) in a quantitative field and/or 5+ years of equivalent professional experience in building and deploying deep learning models.
Proficient in Python, with extensive experience in libraries such as TensorFlow, PyTorch, or similar frameworks.
Deep understanding and practical experience with classical machine learning algorithms and neural networks.
Expertise in data preprocessing, cleaning, and transformation for model training.
Proficient in SQL, including the ability to write complex queries for advanced data manipulation and analysis.
Excellent communication and team collaboration skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences.
Proven, hands-on experience working with SOTA computer vision or generative AI models (Diffusion models, Adapters, Transformers, LLMs, etc.)

Nice to Have

Prior experience in Computer Vision or image/video generation field
Hands-on experience with MLOps tools like Docker, Kubernetes, DVC and MLflow, as well as proficiency with at least one major cloud provider (GCP, AWS, Azure).
Publications at top-tier conferences (e.g., CVPR, NeurIPS, ICCV).

Lead the curation of large datasets comprising millions of food images, to identify patterns, insights, and opportunities for improving image generation and enhancement.
Design, develop, and deploy advanced machine learning and deep learning models to create or refine images and video content, ensuring scalability and robustness.
Establish and optimize robust data pipelines and experiments to rigorously evaluate model performance, driving continuous improvement.
Strategically collaborate with cross-functional teams to seamlessly integrate cutting-edge AI solutions into production workflows, acting as a key technical facilitator.
Define and implement comprehensive strategies for evaluating the quality of generated media using both advanced automated metrics and nuanced user feedback, ensuring high standards.
Proactively communicate complex findings, project progress, and impactful results to diverse stakeholders, translating intricate data insights into clear, actionable recommendations that influence strategic decisions.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.