ML Engineer: Real-Time Personalization & Recommendations

Apple Inc.; Greater London; Hybride; GBP 139 000 - 244 000; Plein temps

Avantages offerts par ce poste

Medical & Dental

Retirement benefits

Employee discounts

Free services

Tuition reimbursement

Bonuses/Commission

Relocation assistance

Résumé du poste

Apple Inc. in London is seeking a Software Engineer for the Music ML team to design and run personalised recommendation services for Apple Music at scale. You will build data pipelines, train and deploy ML models, and deliver real-time personalised experiences while protecting user privacy.

You will collaborate with product and research teams to evolve features across Home, New, Radio, and Personal Mixes, shipping reliable services with low latency and high throughput.

Qualifications

• Hands-on experience crafting highly scalable recommendations systems.
• Understanding of concurrency, algorithms and object oriented programming.
• A vision of how to engineer modern ML-driven systems that allow for fast iteration cycles.
• Effective collaboration with researchers to improve recommendation algorithms.

Responsabilités

• Building products and services for millions of users with a focus on great customer experience and privacy
• Developing complex systems that integrate data from many sources to deliver on-the-fly personalisation with low latency
• Tuning performance considering both latency and throughput
• Deploying our systems globally for improved resiliency and end-user experience
• Collaborating across teams to take new user-facing features from conception to production
• Working within our team to develop and deploy massive datasets to improve personsalised features
• Prototyping algorithm changes and launching A/B tests to measure changes to personalised products

Connaissances

Scalable recommendations

Concurrency & algorithms

ML-driven systems

Collaboration with researchers

Outils

Java

C++

Python

Description du poste

Apple Inc. in London is seeking a Software Engineer for the Music ML team to design and run personalised recommendation services for Apple Music at scale. You will build data pipelines, train and deploy ML models, and deliver real-time personalised experiences while protecting user privacy.

You will collaborate with product and research teams to evolve features across Home, New, Radio, and Personal Mixes, shipping reliable services with low latency and high throughput.