Senior ML Data Engineer - Edge & Cloud Data Ops

applied; Sunnyvale (CA); On-site; USD 150,000 - 240,000; Full time

Job summary

Applied Intuition's Axion Data team is building the data engine to train perception models, running edge perception stacks and a cloud data pipeline for continual model improvement.

You will design optimized data pipelines, evolve the data engine architecture to scale labels and ML iteration cycles, and integrate foundation models to automate labeling, QA, and data discovery, with DoD customer interaction.

Qualifications

• 5+ years of relevant work experience.
• Familiarity with modern ML infrastructure and running large-scale jobs on GPUs.
• Created or worked on microservices and/or databases for data-oriented software.
• A hunger to learn and grow into a position of ownership and impact on a new product team.
• U.S. citizenship (legally required) and eligibility to obtain a security clearance

Responsibilities

• Construct optimized data pipelines to run ML models
• Evolve data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
• Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
• Leverage software-in-the-loop and hardware-in-the-loop testing
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience

Skills

ML infra

Data-centric AI

GPUs

Microservices

Databases

Security clearance

Job description

Applied Intuition's Axion Data team is building the data engine to train perception models, running edge perception stacks and a cloud data pipeline for continual model improvement.

You will design optimized data pipelines, evolve the data engine architecture to scale labels and ML iteration cycles, and integrate foundation models to automate labeling, QA, and data discovery, with DoD customer interaction.