Apple · 1 week ago
Senior Machine Learning Engineer – Ads Predictions
New York, NY
Full-time
Onsite
Mid, Senior Level
$147K/yr - $272K/yr
4+ years expApple is focused on enhancing customer experiences through innovative advertising solutions. They are seeking a Senior Machine Learning Engineer to develop core machine learning models for ad predictions, optimize user interactions, and collaborate with cross-functional teams to scale models effectively.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design and implement ML models to improve predictions of user interaction, click-through rate (CTR), and conversion rate (CVR)
Develop and optimize retrieval algorithms, leveraging techniques from classical IR and modern deep learning
Contribute to core modeling areas such as deep neural networks, contextual bandits, multi-task learning, and LLM-based ranking signals
Work with large-scale, distributed datasets to identify new signals and improve model accuracy and robustness
Collaborate with cross-functional teams across engineering, infrastructure, and product to scale models to production
Participate in designing and running large-scale experiments to validate new model architectures and learning strategies
Qualification
Required
4+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrieval
Deep experience with neural network architectures (e.g., Transformers, DNNs, RNNs) and training pipelines using TensorFlow, PyTorch
Practical understanding of reinforcement learning, explore/exploit strategies, and bandit-based optimization
Experience working with high-volume data pipelines, A/B testing infrastructure, and performance measurement at scale
Proficient in Python and familiar with SQL, Scala, or Java for production environments
Ability to translate abstract ideas into concrete, high-impact solutions
Bachelor's, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field
Preferred
MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field
Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase