About the company
Genies is culture’s leading avatar technology company empowering humans to create their own avatar experiences. To-date, Genies has been widely adopted by cultural tastemakers and has partnerships with Universal Music Group and Warner Music Group as their rosters’ “official avatar.” Genies has recently launched its consumer arm via its AR Developer Kit which allows developers to create interoperable avatar experiences for mobile and hardware AR. Their first avatar experience, Silver Studio, allows users to design and exchange digital fashion. Genies has raised $250M from investors such as Silver Lake, BOND, NEA, and Bob Iger valuing the company at $1 billion.
Job Summary
Examples of what you could do:
📍Identifying innovative NLP solutions for our product suite and defining the roadmap for their implementation. 📍Lead the training, fine-tuning, and deployment of large language models 📍Oversee the AI lifecycle from data acquisition to model deployment and real-time monitoring, guaranteeing efficiency at each phase. 📍Collaborate with cross-functional units, fostering knowledge exchange and enhancing business impact through machine learning.
What you have:
📍An advanced degree (PhD or Master's) in computer science, artificial intelligence, or a related discipline. 📍Minimum of 3 year in model training, deployment, and procedures for efficiently acquiring and validating human-labeled data. 📍Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. 📍Experience training, fine-tuning and deploying large language models (LLM) 📍Proven track record of implementing NLP techniques to develop conversational agents, chatbots, or virtual assistants 📍Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX. 📍Familiarity with NLP toolkits such as spaCy and Hugging Face Transformers. 📍Solid communication skills complemented by a history of fruitful collaborations. 📍Thrive in a high-tempo setting, demonstrating flexibility as project requirements shift. 📍Strong foundation in algorithms, data structures, and object-oriented programming. 📍Self-motivated and adept at operating independently.
