Machine Learning Engineer

Apple Inc.; Greater London; Hybrid; GBP 139,000 - 244,000; Full time

Benefits offered by this job

Medical & Dental

Retirement benefits

Employee discounts

Free services

Tuition reimbursement

Bonuses/Commission

Relocation assistance

Job summary

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.

Responsibilities

• 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

Skills

Scalable recommendations

Concurrency & algorithms

ML-driven systems

Collaboration with researchers

Tools

Java

C++

Python

Job description

Cupertino, California, United States Machine Learning and AI

Here at Apple new ideas have a way of becoming great products very quickly, and innovation never stops. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music ML team at Apple Media Products is responsible for personalisation and recommendation in Apple Music. We are looking for an experienced Software Engineer to help design and run our customer-facing recommendation services reliably, efficiently, and with dedication to delivering relevant and diverse music to our users. Music is our passion, and our aim is to connect artists to music lovers like ourselves. We build amazing experiences for our users while respecting their privacy. Our team is a friendly bunch of people from more than 10 countries. We help each other grow and realise the best work for our users. We’re also part of a larger team at Apple Services Engineering and beyond. We work together to realise a single unified vision, making use of Apple’s unique integration of hardware, software, and services. And although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and cross-functional, offering great opportunities to collaborate and grow.

Description

The Music ML team within Apple Services Engineering is looking for a great Software Engineer to build and improve the features and services driving Apple Music personalisation. Our team is responsible for providing personalised features for Apple Music including Home, New, Radio, and Personal Mixes. Our work includes data analysis, large-scale offline pipelines, machine-learned model training and inference, and online services to provide real-time personalised experiences. Our growing London-based team builds and evolves global-scale, leading-edge dynamic data systems. We are responsible for the full lifecycle: collaboration with the Product team, system design, implementation, continuous optimisation and improvement.

Responsibilities

• 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

Minimum 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

Preferred Qualifications

• A vision of how to engineer modern ML-driven pipelines, APIs and services at scale
• Extensive experience with object-oriented languages such as Java, C++, and Python

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 $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

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

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.