Principal AI Research Scientist

Spree

AI is a fast‑growing, innovative AI company at the forefront of fashion and e-commerce,
revolutionizing how consumers engage with fashion through lifelike photorealistic try‑on technology and hyper‑personalized shopping experiences. Our mission is to redefine the retail landscape with cutting‑edge AI solutions that blend high fashion and technology. Backed by top‑tier investors and guided by visionary leadership, Spree

AI has quickly gained a high‑profile reputation – the company’s board even includes iconic supermodel Naomi Campbell, underscoring its unique fusion of fashion and tech. We thrive in a dynamic, fast‑paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, Spree

AI offers a platform to make your mark.

We are seeking a Principal AI Research Scientist to lead and accelerate our most ambitious research initiatives. In this role, you will be a player‑coach: a scientific leader who not only sets a visionary research agenda but also dives deep into the code, experiments, and data. Our research environment operates at a startup's pace, where priorities can pivot quickly in response to new discoveries and technological breakthroughs.

The ideal candidate thrives in this dynamic setting, combining deep scientific rigor with a bias for action and a passion for building. You will tackle ambiguous, high‑impact problems, drive projects from ideation to prototype, and mentor a world‑class team.

This is a fully remote opportunity.

• Define and Lead Research Agenda: Conceive, plan, and direct a portfolio of high‑impact, long‑term research projects in your area of expertise (e.g., large‑scale language models, generative models, reinforcement learning, computer vision).
• Move Fast & Adapt: Drive research velocity by quickly prototyping new ideas and failing fast. Navigate ambiguity and dynamically adjust research priorities based on intermediate results and shifts in the field.
• Hands‑On Prototyping: Go beyond theory to build and test proof‑of‑concept systems. Maintain a strong connection to engineering and implementation details, ensuring research is both groundbreaking and practical. Write code and run experiments to test hypotheses.
• Fundamental Research & Publication: Conduct state‑of‑the‑art research that results in novel theories, models, and algorithms. Publish findings in top‑tier academic venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR) and contribute to the broader scientific community.
• Mentorship and Scientific Leadership: Mentor and guide junior researchers and engineers, providing scientific direction, career guidance, and fostering their growth into future leaders. Act as a thought leader within the organization and the wider AI community.
• Cross‑Functional
  
  Collaboration:
  
  Collaborate closely with engineering, product, and other research teams to translate fundamental research into scalable, real‑world applications and groundbreaking technologies.
• Strategic Vision: Stay at the cutting edge of AI advancements, identifying emerging trends and new research opportunities that align with the organization’s strategic goals. Influence the overall research direction of the company.

• PhD in Computer Science, Machine Learning, Statistics, or a related technical field.
• 5+ years of research experience in machine learning or a related field (experience can include PhD research).
• A distinguished track record of publications in top‑tier, peer‑reviewed conferences and journals.
• Recognized as a leading expert in a specific AI domain, demonstrated through publications, invited talks, patents, or open‑source contributions.
• Demonstrated proficiency in Python and hands‑on experience with at least one major deep learning framework (e.g., PyTorch, JAX, Tensor Flow).
• Expertise in one or more of the following areas:
  • Large Language Models (LLMs) & Transformers
  • Generative AI (e.g., diffusion models, VAEs, GANs)
  • Multimodal Learning (vision, language, audio)

• 8+ years of post‑PhD research experience in an academic or industrial setting.
• Experience setting and leading a long‑term,…