Job Details

Senior ML Engineer - Search & Recommendation Systems

Cupertino, California, United States

Software and Services

Summary

Posted: May 15, 2025

Weekly Hours: 40

Role Number: 200605004

Join the Services Special Projects team and you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple’s users!

We are seeking a highly experienced and innovative Recommendation Systems Engineer to help design, develop, and optimize large-scale recommendation and search systems. You will work closely with other AI/ML Scientists and experts at the intersection of Generative AI and Information Retrieval, crafting intelligent systems that personalize user experiences.

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.).

Pay & Benefits

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 $175,800 and $312,200, 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 Apple’s 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 Apple’s Employee Stock Purchase Plan. You’ll 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. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.