What You’ll Do
Your primary role is to produce research advances in the field of AI that improve the capabilities of models or agents for code generation, networking, human-computer interaction, model safety, or other strategic areas. You will research building domain-specific foundational representations relevant to networking, etc. that provide value across diverse sets of applications.You will be a thought leader in the global research community via publishing papers, giving technical talks, organizing workshops etc.
Who You’ll Work With
Minimum qualifications
- PhD in Computer Science or a relevant technical field and 2+ years of experience within an industry or academic research lab or a Masters Degree and 6+ years of experience within an industry or academic research lab and a minimum of 3 publications within top AI Venues such as ACL, EMNLP, ICLR, ICML, NAACL, NeurIPS
- Experience working with Machine Learning Models (MLMs) and familiarity with associated frameworks, such as TensorFlow, PyTorch, or equivalent platforms
Preferred qualifications
- Experience driving research projects within an industry or university lab
- Interest in combining representation learning and problem-specific properties
- Experience in building, fine-tuning foundation models including LLMs and multi-modal models or domain specific models
- Ability to maintain cutting-edge knowledge in generative AI, Large Language Models (LLMs), and multi-modal models and apply these technologies innovatively to emerging business problems, use cases, and scenarios
- Outstanding communication, interpersonal, relationship building skills conducive to collaboration
- Experience working in an industrial research lab (full-time, internship, sabbatical, etc.)
We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).