Software Engineer (all genders) Machine Learning for Content Solutions

INCLUSIVE BY DESIGN

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• You will support content solutions to build realistic and inspirational product displays and descriptions using Machine Learning technology
• You will assess different solutions, tools or AI models regarding their fit to our use cases, acting as a innovator, consultant and developer
• You will integrate AI solutions into our infrastructure
• You will collaborate with cross-functional teams, including product and management, to build AI based or algorithmic solutions to critical customer challenges
• We offer the opportunity for you to communicate research findings, capabilities, and deliverables to diverse audiences
• You’ll have the chance to demonstrate strong entrepreneurial skills in promoting and presenting research results convincingly
• We offer you the opportunity to deeply understand our business and connecting state-of-the-art technology to real-world applications

WE’D LOVE TO MEET YOU IF…

• You have strong software development skills using Python. Experience in other programming languages like Kotlin or Java is a plus.
• You have a degree in Computer Science, Engineering, or a related technical field.
• You bring experience in ETL pipelines, AWS Sagemaker, Bedrock and machine learning in general.
• You are proficient in SQL, including query optimisation and performance tuning.
• You have a solid understanding of (AWS) cloud computing with Docker.
• You have excellent communication, presentation, and interpersonal skills.
• A passion for understanding business needs and leveraging technology to solve customer problems is what drives you.

GOOD TO HAVE

• 3D Representation Knowledge: Understanding of various 3D representation methods, including implicit, explicit, and parametric approaches. The candidate should be able to apply these representations effectively in 3D computer vision tasks.
• Programming Skills: Experience using deep learning frameworks such as PyTorch, Keras, and TensorFlow to develop and implement solutions using generative artificial intelligence
• Experience in the areas of generative and discriminative modelling
• Adaptability: Willingness and ability to stay current with the latest developments in deep learning, 3D computer vision, and related technologies, and to quickly adapt to new tools and methodologies.

OUR OFFER

• 27 days of holiday a year to start for full-time employees
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review