Machine Learning Engineer
Job Summary
Job Description
Apple Ads is seeking a Machine Learning Engineer to focus on customer experience, helping people find what they're looking for and advertisers grow their businesses. This role powers ads and sponsorships across Apple Services, emphasizing trust, connection, and impact by respecting user privacy and delivering value. The engineer will apply their expertise to machine learning, advanced quantitative methods, and model development, including regression, classification, clustering, and time-series analyses. They will also be responsible for querying and transforming data, mentoring team members, and creating data products and strategies that drive growth.
Must have:
- 6+ years of experience in analytics or data science
- Hands-on machine learning and quantitative methods experience
- Ability to code for data querying and transformation
- Proficiency in Python and SQL
- Experience with modern data technologies and data warehousing
- Ability to guide analysis and model development
- Strategic thinking and ability to translate complex concepts
- Ability to manage partner relationships
- Translate insights into narratives for stakeholders
- Ensure strategic analysis impacts business decisions
- Master's degree or equivalent in a quantitative field
Good to have:
- 8+ years of experience in analytics or data science
- Ph.D. in a quantitative field
- 3+ years in digital advertising and performance platforms
- Comfort with advanced analytics and data visualization tools (Pandas, R, Spark, Tableau)
9 skills required
Job Details
At Apple, we focus deeply on our customers’ experience. Apple Ads brings 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!
- 6+ years of experience in analytics and/or data science teams
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
- Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
- Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
- 8+ years of experience in analytics and/or data science teams
- Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience -
- 3+ years in digital advertising and performance-based platforms
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