Software Data Engineer, Sensing & Connectivity
Apple· Software and Services
Cupertino, CA$150.4k - $277.6kfull-timePosted 1w ago
About the role
Software Data Engineer to build tools, services, and data pipelines that support model evaluation at scale, across many models and high volumes of evaluation runs. Focus on quality-first end-to-end solutions for evaluation workflows that measure reliability and accuracy of generative AI systems, integrating with enterprise services, and maintaining reproducible, queryable evaluation data.
Responsibilities
- Develop and support new and existing features in a hands-on capacity.
- Build tools and services that support model evaluation at scale.
- Build and maintain pipelines for evaluation datasets, run results, and metrics.
- Design data models and storage that make evaluation results reproducible and queryable.
- Design and maintain validation frameworks that measure the reliability and accuracy of synthetic data.
- Integrate the evaluation platform with enterprise services.
- Partner with cross-functional teams to coordinate the complex interdependencies of application development.
- Deploy, monitor, and operate services on production-grade infrastructure.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or 3 years of equivalent work experience.
- 3+ years of experience building and operating production software in Python.
- Experience debugging distributed systems or data pipelines in production, using logs, metrics, and task state to find root causes.
- Experience designing input validation and configuration contracts for systems where late failures are costly.
- Proven, hands-on use of agentic AI coding tools in day-to-day software development, including judging where they are effective and where their output needs human verification.
- Strong communication skills.
- Experience with model evaluation frameworks or ML infrastructure.
- Experience working directly with partner teams or internal customers to define and ship features.
- Experience measuring the domain gap between synthetic and real data, including visual statistics and non-visual properties such as metadata and label distributions.
- Experience with generative image, video, or large language model APIs, including structured output.
- Familiarity with image and video file formats and metadata standards.
- Experience with batch compute platforms or job schedulers.
Skills
Required:PythonDistributed systems debuggingData pipelinesValidation frameworksAgentic AI coding toolsCommunicationCross-functional collaboration
Nice to have:Model evaluation frameworks / ML infrastructureDomain gap measurementGenerative AI / LLM APIsFile formats & metadataBatch compute platforms or job schedulers
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- range of discounted products and free services
- reimbursement for certain educational expenses including tuition
- discretionary bonuses or commission payments may be eligible
- relocation"
Last updated Oct 16, 2026. Interested? Apply on the company site.
About Apple
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