Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple

Seattle, WA

Apply

JOB DETAILS

SKILLS

A/B Testing, Analysis Skills, Apache, Apple, Apple Siri, Artificial Intelligence (AI), Business Skills, Computer Science, Computer Systems, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Experience, Customer Relations, Customer/Client Research, Data Analysis, Data Management, Data Modeling, Data Science, Deep Learning, Distributed Computing, Go Programming Language (Golang), Large-Scale Systems, Machine Learning, Mobile Devices, Natural Language Processing (NLP), Online Publications, Performance Management, Performance Modeling, Product Development, Product Engineering, Production Systems, Programming Languages, Python Programming/Scripting Language, Quality Assurance, Requirements Management, Scala Programming Language, Statistics, Team Player, User Interface/Experience (UI/UX)

LOCATION

Seattle, WA

POSTED

30+ days ago

**Role Number:** 200641263-3337 **Summary** The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. **Description** The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents. You will have the outstanding opportunity to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with cross-functional teams to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs. **Minimum Qualifications** + MS degree in Computer Science, Machine Learning, or related field with 2+ years of industry experience building production ML/AI systems, OR PhD degree in a related field + Proficiency in mainstream programming languages such as Python, Scala, and Go + Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production, ideally using the Apache software stack (e.g., Spark) + Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow in production environments + Experience with natural language processing, statistical data analysis, and model evaluation methodologies + Demonstrated ability to collaborate with cross-functional teams including product, engineering, and data science + Experience with CI/CD pipelines, model deployment, and monitoring solutions **Preferred Qualifications** + MS degree with 6+ years of industry experience building and scaling ML/AI systems, OR PhD degree with 3+ years of industry experience in production ML environments + Proven track record designing, deploying, and maintaining large-scale distributed ML systems serving millions of QPS (queries per second) + Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale + Experience designing human-in-the-loop evaluation pipelines and leveraging user feedback to improve model performance + Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or other generative AI technologies in production + Experience building model monitoring, observability, and quality assurance systems for production ML services + Experience optimizing ML systems for latency, throughput, and cost at scale + Track record of shipping ML-powered features that measurably improved user experience for consumer-facing products + Strong product intuition and ability to translate business requirements into technical solutions

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

Resume Resources

Free Resume Templates Free Resume Builder