Software Engineer, ML platform and Infrastructure

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• 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

137% above the BLS national median for data and ml aggregate.

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, ML platform and Infrastructure Austin Metro Area, United States of America The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. Our ML Platforms, Solutions, and Services deliver a comprehensive suite of capabilities that drive efficiency, agility, and innovation at Apple scale-serving business-critical needs across the enterprise. We are looking for talented Software Engineers who are passionate about distributed systems and large-scale infrastructure to build and operate world-class ML platforms and products across cloud environments. Join Apple's Applied Machine Learning Team as a Machine Learning Platform Engineer and play a central role in designing and building the systems that power our Data, Machine Learning, and Generative AI initiatives. You will architect and engineer robust, high-performance, massively scalable platforms that serve as the foundation for groundbreaking ML workloads across the enterprise. In this role, you will apply software engineering depth to solve the hardest challenges in large-scale distributed systems-designing for reliability, performance, and efficiency from the ground up. You will own the technical direction of ML/Data/Inference platform capabilities, leading the evaluation and integration of cutting-edge open-source technologies and building innovative internal solutions that raise the bar for scalability and resilience across our ML ecosystem. You'll collaborate closely with cross-functional engineering and business teams, influencing technical strategy and contributing meaningfully to the broader platform roadmap. Highly proficient in Python, Java, or Go, with a strong track record of building production-grade automation, tooling, and system-level software. Deep understanding of LLM

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