Senior ML Engineer - Search & Recommendation Systems
Senior ML Engineer - Search & Recommendation Systems
Posted on :
05-08-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 181100 - 318400
Vacancy
1 Vacancy
Posted on :
05-08-2025
Job Description
This role is ideal for a technically deep individual who thrives in a fast-paced environment has a strong product sense and enjoys solving real-world problems using modern and novel AI models and scalable systems. We are passionate team of hardworking engineers researchers and scientists with common goals in mind and we are looking for a strong Search and Recommendations Machine Learning engineer to join our team and be a part of the next revolution in human-computer interaction!KEY RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO:- Designing and implementing recommendation algorithms including collaborative filtering content-based filtering deep learning models (e.g. DLRM transformers) and hybrid systems.- Developing personalized search and retrieval systems optimizing ranking and relevance through ML/AI models and heuristics.- Driving end-to-end machine learning workflows from data ingestion and preprocessing to model training deployment and monitoring in production.- Collaborating with cross-functional teams including Research Scientists Product Data Engineering Search Infra teams and UX to align recommendations/search features with business and user goals.- Defining and implementing offline and online evaluation metrics A/B testing frameworks and continuous improvement strategies.- Staying up to date with the latest research and innovations in recommendation systems and search-related ML technologies and translating them into scalable production systems.
- 10 years of experience in Machine Learning Data Science or Software Engineering roles with a significant focus on recommendation systems and/or search infrastructure.
- Validated experience building and deploying large-scale Recommendation or Search systems in production.
- Strong proficiency in Python Scala or Java or other generalist programming languages
- Deep familiarity with ML frameworks (TensorFlow PyTorch XGBoost etc.).
- Solid understanding of ML system design model lifecycle and experimentation pipelines.
- Extensive experience working with large datasets data processing pipelines (e.g. Spark Flink) and scalable architectures.
- Deep understanding of information retrieval ranking algorithms and user modeling techniques.
- Experience with real-time systems user feedback loops and model retraining pipelines.
- BS or MS in Computer Science Machine Learning Statistics or a related field.
- PhD Preferred
- Published work or patents in the domain of search/recommendation systems or related ML fields.
- Experience with modern vector search and retrieval techniques
- Strong foundation in deep learning architectures for personalization (e.g. transformers graph neural networks multi-task learning).
- Exposure to multi-objective optimization in recommender systems (e.g. engagement diversity novelty fairness).
- Familiarity with MLOps tools and cloud platforms (AWS/GCP/Azure Kubeflow MLFlow etc.).
At Apple base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181100 and $318400 and your base pay will depend on your skills qualifications experience and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage retirement benefits a range of discounted products and free services and for formal education related to advancing your career at Apple reimbursement for certain educational expenses including tuition. Additionally this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage retirement benefits a range of discounted products and free services and for formal education related to advancing your career at Apple reimbursement for certain educational expenses including tuition. Additionally this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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