Senior AI Engineer
New
S
Scout AIDefense Robotics
Remote US, Sunnyvale, CaliforniaFull-TimeSenior
Salary$200,000 — $400,000 USD
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Job Details
- Experience
- 6+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
- Required Skills
- PythonPyTorchDeep Learning
Requirements
- 6+ years of hands-on experience building and deploying AI models
- 2+ years working with multimodal models or agentic AI systems
- Proficiency in Python and PyTorch
- Experience with modern machine learning infrastructure
- Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
- Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
- Solid grasp of modern model training techniques including SFT, DPO, RLVR
- Demonstrated ability to take research from prototype to product in fast-moving environments
- BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field
- Experience building closed-loop simulation, evaluation, or reinforcement learning environments is a plus
Responsibilities
- Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
- Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
- Curate and generate large-scale training datasets from both synthetic and real-world data engines
- Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
- Design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
- Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
- Translate foundational research into deployable, real-time perception and decision-making systems
- Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
- Conduct field trials and mission operations to validate system performance under real-world constraints
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