This role pays more than
63%
of similar roles. Most pay
$192,275–$246,150
— the shaded band above.
At the midpoint, this role pays about
$227k
versus about
$219k
for comparable roles.
Based on 239 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
638 open roles
on FindRole.
Listed pay typically runs
$171,600–$272,100
across 505 roles with salary data.
As a Tech Lead Machine Learning Engineer at Apple’s Finance Digital Transformation team, you will serve as the technical lead for product cost within Operations Finance, overseeing solution design and guiding engineers. You will collaborate with data and software engineers, product managers, and program managers to operationalize AI solutions, bridging the gap between prototypes and production to deliver rapid and reliable value. Your responsibilities include instilling strong engineering practices into machine learning processes, explaining technical concepts to non-technical audiences, and developing scalable pipelines using SQL and big data technologies. You will apply ML algorithms for regression, classification, anomaly detection, and build generative AI solutions while implementing MLOps/LLMOps best practices on cloud platforms like AWS, GCP, or Azure. This role requires a graduate degree in computer science, data science, math, quantitative finance, or similar field, with seven years of experience building data-driven solutions and leading engineers across functions.