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AI Engineer

Armada· R&D - AI Engineering
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Bellevue, WA$154.6k - $193.2kfull-timePosted 2mo ago

About the role

AI Engineer role focused on building and deploying production AI systems at the edge across diverse environments (offshore platforms, remote mines, defense installations, transportation networks, etc.), with end-to-end ownership from problem definition to deployment and monitoring in production.

Responsibilities

  • Translate operational problems into AI requirements, datasets, evaluation criteria, and production architectures.
  • Design, train, fine-tune, and deploy models for vision, language, multimodal AI, time-series analysis, autonomy, and optimization.
  • Apply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.
  • Build training and evaluation datasets from video, images, text, telemetry, sensor data, and synthetic data.
  • Evaluate models for accuracy, latency, throughput, robustness, safety, groundedness, and resource efficiency.
  • Optimize inference through quantization, pruning, distillation, batching, caching, and hardware-aware acceleration.
  • Build reliable AI services using Python, testing, versioning, observability, and automated deployment.
  • Deploy containerized AI workloads across Kubernetes, cloud, on-premises, and disconnected edge environments.
  • Build pipelines for model monitoring, data validation, drift detection, retraining, and controlled updates.
  • Partner with customers, product teams, engineers, and domain experts to move prototypes into production.
  • Diagnose issues across data pipelines, models, GPUs, orchestration, networking, and applications.
  • Contribute reusable models, datasets, evaluation tools, platform components, documentation, patents, and publications.

Qualifications

  • Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.
  • 3+ years of industry experience in AI research, machine learning, and production software development.
  • Strong programming skills in Python and proficiency in Java, C++, or another production language.
  • Hands-on experience with statistical machine learning, deep learning, and natural language processing.
  • Strong understanding of supervised, unsupervised, transfer, and representation learning.
  • Experience with modern neural architectures, including transformers, convolutional networks, detection models, generative models, and autoencoders.
  • Proficiency with deep-learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Familiarity with containers, numerical libraries, modular software design, version control, and automated testing.
  • Experience applying machine learning to real-world problems and deploying models beyond research prototypes.
  • Evidence of technical depth through peer-reviewed publications, open-source contributions, or significant production systems; publications at NeurIPS/ICML/ICLR/AAAI/CVPR/ICCV are valued.

Skills

Required:AI/ML lifecycle ownershipPython
Nice to have:Java/C++

Benefits

  • Competitive base salary and equity
  • Medical, dental, and vision (subsidized cost)
  • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
  • Retirement plan options, including 401(k) and Roth 401(k)
  • Unlimited paid time off (PTO)
  • 14 paid company holidays per year
Last updated Aug 14, 2026. Interested? Apply on the company site.
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About Armada

Armada: Solving Your Hardest Problems at the Edge

Armada’s platform combines connectivity, compute, and real-world AI to solve your toughest challenges right where your data is generated.

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