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People at Apple don t just build products - they craft the kind of experience that has revolutionised entire industries The diverse collection of our people and their ideas encourages innovation in everything we do Imagine what you could do here Join Apple and help us leave the world better than we found it At Apple recent ideas have a way of becoming extraordinary products services and customer experiences very quickly Every single day people do amazing things at Apple Imagine what you could do here At Apple extraordinary ideas have a way of becoming phenomenal products services and customer experiences very quickly Our deep focus on the customer experience extends to Apple Ads where we bring this same approach to advertising helping people find exactly what they re looking for and helping advertisers grow their businesses Our technology powers ads and sponsorships across Apple Services including the App Store Apple News and MLS Season Pass Everything we do is designed for trust connection and impact We respect user privacy integrate advertising thoughtfully into the experience and deliver value for advertisers of all sizes-from small app developers to big global brands Because when advertising is done right it benefits everyone Description As a Software Engineering Intern within the Apple Ads team you will contribute to the design development and optimization of our advertising platforms with a particular focus on leveraging machine learning to enhance ad relevance performance and user experience You will work alongside experienced engineers on challenging projects gaining hands-on experience with large-scale data machine learning models and distributed systems Responsibilities may include developing and deploying machine learning algorithms analyzing data to identify insights writing clean and efficient code for production systems participating in code reviews debugging issues and collaborating with cross-functional teams to deliver high-quality privacy-preserving advertising solutions Preferred Qualifications Ability to work independently and as part of a collaborative team Strong communication and interpersonal skills with an ability to articulate technical concepts Demonstrated ability to learn new technologies quickly and adapt to evolving project requirements Minimum Qualifications Currently pursuing a PhD in Computer Science Software Engineering Machine Learning Data Science or a related technical field Strong foundational knowledge in data structures algorithms and object-oriented programming Proficiency in at least one programming language commonly used in machine learning or backend development e g Python Java Scala C Understanding of fundamental machine learning concepts and statistical methods Excellent problem-solving and analytical skills with an ability to analyze complex data Experience with machine learning frameworks and libraries e g TensorFlow PyTorch scikit-learn Familiarity with large-scale data processing technologies e g Spark Hadoop Flink and distributed systems Knowledge of database systems SQL NoSQL and data warehousing concepts Prior coursework or projects related to advertising technology recommender systems natural language processing or computer vision Familiarity with version control systems e g Git internalDetails null eeoContent null .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.