Senior Deep Learning Scientist, Multimodal Agentic RL

Location: Remote - US based candidates only, no visa sponsorship available

About the role

This role will own the development of advanced neural networks for multimodal agentic reinforcement learning systems. You will partner with research and engineering teams to advance post-training, alignment, and evaluation of multimodal agents within a Telecommunications & Hardware environment.

Responsibilities

• Develop, train, fine-tune, and deploy advanced neural networks for language processing in agentic systems
• Advance post-training and alignment methods to enhance multimodal agents
• Research agentic reasoning and grounded perception capabilities for planning and task completion
• Lead the development and benchmarking of multimodal datasets for model evaluation

Qualifications

• Master's degree or PhD in Computer Science, AI, or Applied Math with 8+ years of experience
• Excellent programming skills in Python and experience with deep learning frameworks like PyTorch
• Strong knowledge of ML/DL techniques and foundation model architectures such as Transformers
• Foundational understanding of reinforcement learning algorithms (MDPs, policies, reward design)
• Hands-on experience with post-training multimodal models for audio-visual reasoning

Pay

$184,000 – $287,500 annually

Benefits

• Competitive salary and equity options
• Comprehensive benefits package including health and wellness resources
• Flexible work hours and potential for remote work
• Opportunities for professional development and continuing education