Staff Engineer, Hivemind Reasoning (R6292)

What you'll do

• Design and evaluate reasoning models, comparing foundation-model, specialized deep-learning, and traditional AI/ML approaches.
• Create reproducible training workflows, datasets, objectives, benchmarks, and evaluations in simulation and with real-world data.
• Deliver trained models and performance evidence, working with partner teams to address edge constraints and model failures.

What they ask for

• Demonstrated hands-on experience developing and deploying advanced ML models in production.
• Expertise in foundation models, modern deep learning, model architectures, and training approaches including self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation.
• Experience defining datasets, training objectives, experimental workflows, benchmarks, and reproducible model comparisons.
• Experience with training frameworks such as PyTorch, JAX, or TensorFlow.

Nice to have

• Expertise optimizing and deploying ML models on resource-constrained hardware; experience with simulation-to-real on autonomous systems.
• Experience with unmanned autonomous systems in defense applications.

Pay

USD 240,000–360,000 per-year-salary (base salary)

Tools

PyTorch, JAX, TensorFlow, NVIDIA Jetson, Qualcomm, AMD, VLMs, VLAs

AI focus

Develop and deploy reasoning and cognition models for autonomous unmanned systems, including multimodal and embodied AI, agent coordination, adaptation, and evaluation.