Machine Learning Engineer - Ads Relevance & Quality
Machine Learning Engineer - Ads Relevance & Quality
Posted on :
04-08-2025
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1 Vacancy
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Monthly Salary
USD 147400 - 272100
Vacancy
1 Vacancy
Posted on :
04-08-2025
Job Description
Youll play a key role in shaping the future of safe high-quality advertising at Apple. Your work will help ensure that ads remain useful relevant and respectful of our userssupporting Apples values of privacy trust and transparency. Youll collaborate with world-class engineers and researchers apply cutting-edge ML techniques in real-world systems and have a direct impact on the experience of millions of users every day.- Design and implement machine learning models to evaluate and improve ad relevance trust and quality for user queries- Build NLP and multi-modal models that detect offensive unsafe or policy-violating content at scale- Develop methods for semantic query understanding ads understanding relevance scoring and keyword-to-ad matching- Collaborate closely with product and policy teams to translate content integrity standards into measurable ML objectives- Work with large-scale privacy-preserving datasets to discover and operationalize new quality signals- Conduct offline/online experiments to measure impact on user trust and satisfaction across Ads- Partner cross-functionally with infrastructure product and moderation teams to deploy models at production scale
- 4 years of experience applying machine learning at scale in domains such as ad tech content moderation search ranking or recommendation systems
- Strong expertise in natural language processing including offensive content detection semantic matching
- Experience with Transformer-based architectures (e.g. BERT DistilBERT) and training pipelines in TensorFlow or PyTorch
- Familiarity with fine-tuning Large Language Models (LLMs) for downstream tasks such as classification content moderation or semantic relevance
- Familiarity with quality and fairness evaluation frameworks (precision recall coverage policy alignment etc.)
- Hands-on experience with A/B testing experimentation frameworks and performance debugging in production
- Proficiency in Python and SQL
- Strong problem-solving and communication skills with a focus on translating abstract trust/safety goals into deployable solutions
- MS in Computer Science Machine Learning NLP or a related technical field
- 7 years of experience applying machine learning at scale in domains such as ad tech content moderation search ranking or recommendation systems
- PhD in Computer Science Machine Learning NLP or a related technical field
- Additional experience in Scala or Java
Employment Type
Full Time
Key Skills
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