Senior Machine Learning Engineer

What you’ll do

• Design, develop, and optimize text-to-image and image-to-image generative AI models using techniques such as fine-tuning, LoRA, DreamBooth, text inversion, and ControlNet
• Ingest, preprocess, and manage large image datasets for training generative models
• Annotate and curate unstructured data at scale using Large Language Models
• Collaborate with designers and stakeholders to understand requirements and translate them into technical solutions
• Communicate complex technical concepts to cross-functional teams and stakeholders
• Implement model evaluation and monitoring pipelines to ensure high performance and reliability
• Stay up-to-date with the latest advancements in generative AI and contribute to the adoption of new techniques and frameworks

What you’ll need to succeed

• Strong proficiency in Python and generative AI frameworks
• Demonstrated knowledge of generative models (e.g. transformers, autoencoders, diffusion models, GANs) in Computer Vision and NLP domains
• Solid understanding of deep learning concepts heavily used in AI (transfer learning, RLHF etc.)
• Experience with data pipeline tools and ETL processes, particularly for training and deploying ML models
• Familiarity with SQL and database management systems
• Ability to write and review technical documentation, ensuring clarity and accuracy
• Excellent English communication skills, capable of conveying complex technical concepts to non-technical stakeholders
• Experience working in a remote, global environment, with a proactive and self-directed attitude
• Passion for creative design and generative AI applications
• A trusting, resourceful, ego-free, and kind team player personality
• Bias for action, proactive, customer-centric, and execution-driven mindset

Our biggest challenge right now

• Being in the center of creative, tech, and digital professional services, we find ourselves in a unique position to take on this opportunity and place ourselves at the forefront of our field, during a time where AI is massively disrupting creative and marketing industries. On top of this, we can leverage our vast amounts of data from our in-house platform and integrated tools, and from hundreds of brands and hundreds of thousands of projects.