Senior AI Engineer - Fury Team
Tasks
- Build communication capabilities for multi agent systems
- Build simulation environments
- Conduct field trials and mission operations
- Create training recipes
- Curate training datasets
- Design benchmarks and evaluation metrics
- Design data mixtures
- Design multimodal foundation models
- Develop memory and planning for AI agents
- Develop multi robot mission execution systems
- Develop testing methodologies
- Develop tool use capabilities for AI agents
- Evaluate multimodal foundation models
- Generate synthetic training data
- Implement curriculum design
- Integrate AI systems with onboard autonomy stacks
- Optimize reinforcement learning simulations
- Select model architectures
- Train multimodal foundation models
- Translate research into real time decision making systems
- Translate research into real time perception systems
Perks/Benefits
- Catered lunch daily
- Company holidays
- EV charging
- Equity
- Fully stocked kitchen
- Paid time off
- Premium health, dental, and vision insurance
- Relocation assistance
- Unlimited AI tokens
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Deep learning | Direct Preference Optimization | Distributed Training | Edge Inference Optimization | Edge inference | Fine Tuning | Inference Optimization | Language Processing | Learning environments | Learning simulation | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multimodal Models | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning Environments | Reinforcement Learning Simulation | Simulation Environments | Supervised Fine Tuning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Senior AI Engineer | Staff AI Engineer
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