This role pays more than
63%
of similar roles. Most pay
$190,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$227k
versus about
$218k
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 Finance, you will serve as the technical lead for product cost within Apple’s Operations Finance organization, overseeing solution design and guiding engineers to operationalize AI solutions. You will collaborate with data and software engineers, product managers, and program managers to instill strong engineering practices into machine learning processes, ensuring rapid and reliable delivery of value. Your responsibilities include explaining complex technical concepts to non-technical stakeholders and developing scalable pipelines using SQL and big data technologies while adhering to DRY principles and testing standards in Python. You will also apply ML algorithms for regression, classification, anomaly detection, and generative AI solutions, implementing MLOps practices on cloud platforms like AWS or GCP. This role requires a graduate degree in computer science, data science, math, quantitative finance, or a related field, along with at least 8 years of engineering experience and expertise in data ops best practices.