2 months ago
Bellevue, WA, USAMid Level
H1B sponsor
Base Salary
$155k - $193k/yr
Responsibilities
- Translate operational problems into AI requirements, datasets, evaluation criteria, and production architectures.
- Design, train, fine-tune, evaluate, and deploy models for vision, language, multimodal AI, time-series analysis, autonomy, and optimization.
- Apply fine-tuning, distillation, quantization, pruning, batching, caching, and hardware-aware acceleration to optimize AI inference.
- Build datasets from video, images, text, telemetry, sensor data, and synthetic data.
- Develop reliable Python AI services with testing, versioning, observability, and automated deployment.
- Deploy containerized AI workloads across Kubernetes, cloud, on-premises, and disconnected edge environments.
- Build monitoring, data-validation, drift-detection, retraining, and controlled-update pipelines.
- 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.
Requirements
- Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.
- At least three years of industry experience in AI research, machine learning, and production software development.
- Strong Python skills and proficiency in Java, C++, or another production language.
- Hands-on experience with statistical machine learning, deep learning, and natural language processing.
- Understanding of supervised, unsupervised, transfer, and representation learning.
- Experience with transformers, convolutional networks, detection models, generative models, and autoencoders.
- Proficiency with PyTorch, TensorFlow, or JAX.
- Familiarity with containers, numerical libraries, modular software design, version control, and automated testing.
- Experience deploying machine-learning models beyond research prototypes.
- Evidence of technical depth through publications, open-source contributions, or significant production systems.
- Preferred experience includes GPU and edge deployment, inference optimization, Kubernetes, distributed systems, production MLOps, multimodal systems, robotics, industrial or safety-critical systems, quantization, pruning, distillation, LoRA, synthetic data, active learning, weak supervision, human-in-the-loop workflows, or simulation.
Benefits
- Office-based role at the Bellevue, Washington office
- Equity and subsidized medical, dental, and vision benefits
- Health savings accounts, flexible spending accounts, and dependent care FSAs
- 401(k) and Roth 401(k) retirement plan options
- Unlimited paid time off
- 14 paid company holidays per year
Tech Stack
Categories
About Armada
Armada builds a full-stack edge computing platform that provides modular AI infrastructure, connectivity, and rugged deployable compute for organizations that cannot rely on centralized cloud. Its products serve sectors such as energy and defense and are deployed in over 60 countries. Founded in 2022 and headquartered in San Francisco, the privately held company partners with vendors like Microsoft, NVIDIA, and SpaceX to support on-premise and remote-site AI.