Builds data pipelines for ML models, optimizing edge and cloud performance.
- •The Axion Data team is building the data engine to train perception models, including edge applications and cloud pipelines for data ingestion and management.
- •This role involves optimizing ML model performance on edge and cloud, and building MLOps tooling.
- •Key Responsibilities Construct optimized data pipelines to run ML models.
- •Evolve data engine architecture to scale high-fidelity labels and accelerate ML iteration cycles.
- •Integrate foundation models (LLMs, VLMs) to automate and enhance labeling and data discovery.
- •Leverage software-in-the-loop and hardware-in-the-loop testing.
- •Interact with DoD customers to understand use cases and triage needs.
- •Requirements 5+ years of relevant work experience.
- •Familiarity with modern ML infrastructure, data-centric AI approaches, and running large-scale jobs on GPUs.
- •Experience creating or working on microservices and/or databases for data-oriented software.
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