Senior Software Engineer (Machine Learning - ML Platform)
15 Oct 2025
New York, NY, USA
Verified by Turrior
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
85 / 100
Offer value
High score due to Apple's reputable brand, emphasis on user experience in advertising technologies, and significant growth potential in machine learning.
- Engage with cutting-edge machine learning technology
- Foster user-centric advertising solutions
- Great opportunities for career growth
- Requires expertise in software engineering and ML
Pros
- Work on cutting-edge Machine Learning for Apple's advertising platforms
- Chance to develop impactful advertising technologies
- Collaborative environment with data scientists and engineers
Cons
- High expectations and competitive environment
- May involve long hours during critical project phases
- Uncertain salary details could pose issues for some candidates
Who it's for
Mid to Senior • On-site in New York, NY
Good fit
- Experienced software engineers focusing on ML
- Tech enthusiasts aiming to innovate in advertising
- Those comfortable in fast-paced, collaborative settings
Not recommended for
- New entrants to the field or those with limited experience
- Candidates preferring an individual work style
- Those uninterested in fast-paced projects
Motivation fit
Desire to influence user experience through ML algorithmsInterest in high-impact advertising projectsCommitment to ethical technology practices
Key skills
Machine learning frameworksSoftware development (Python, Java)Agile methodologiesData analytics and user experience design
Score: 85/100 AI verified analysis
About the job
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. The Machine Learning Platform team’s mission is to empower Ad Ads teams to build and scale. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.
