Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities Austin, United States of America The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities-serving business-critical needs across Apple's enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open source and cutting edge technologies. We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments! We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform. You will: - Build, enhance, and maintain multi-tenant systems employing diverse technologies - Collaborate with multi-functional teams to deliver impactful customer features - Lead projects through full lifecycle, from design discussions to release delivery - Operate, scale, and optimize high-throughput and highly concurrent services - Diagnose, resolve, and prevent production and operational challenges We are looking for enthusiastic engineers with interest in one of the following areas: - ML Engineers - Big Data Engineer - Platform Reliability Engineer The

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