Applied AI Engineer - Multimodal Transformers
Benefits:
Competitive compensation package including equity and annual bonuses
Excellent Medical, Dental, and Vision plans
Flexible PTO and 10 paid holidays
Free catered lunch and fully stocked kitchen
Fidelity 401(k)
Education Requirements:
BS, MS, or PhD in AI, Computer Science, or a related field
Experience Requirements:
At least 2-3 years of industry experience
Experience with transformer architectures
Familiarity with cross-attention, token fusion, or modality alignment
Proficiency in Python and deep learning frameworks
Understanding of scalable training for large models
Other Requirements:
Passion for building AI that reasons over sensory input
Responsibilities:
Design and develop multimodal transformer architectures
Research and implement cross-modal attention mechanisms
Build scalable training pipelines for large-scale multimodal transformers
Explore self-supervised and contrastive pretraining objectives
Optimize transformer models for real-time inference
Show more details