AIML - Machine Learning Engineer, Data and ML Innovation
Location
Cupertino, CA | United States
Job description
Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done — just by asking?
The vision for the AIML Data organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As a Machine Learning Engineer on the team you will build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the Siri experience for Apple customers.
Key Qualifications
- You have engineered metrics and statistical information out of massive and complex datasets (e.g. Spark MLlib, Druid, Solr, Kafka).
- You have built robust feature extraction and ML training pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).
- You have done prototype-to-production development of ML models. You care about improving training performance by researching into latest algorithms. You also value scaling inferences by using CPU/GPU resources in parallelized fashion and have a strong foundation in data structures and optimization algorithms.
- You are knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Good understanding of bias/variance trade-off, regularization, dimension reduction.
- You have some experience in modern deep learning techniques via packages such as PyTorch, Keras/Tensorflow.
- You care about data generating processes, not just modeling them, but understanding the actual human and computational behavior from which data emerges.
- You are proficient in at least one programming language (e.g. Python, Scala) and are comfortable developing code within a team environment (e.g. git, testing, code reviews).
- You are self-motivated and curious. You continue to learn on the job.
- You have demonstrated creative and critical thinking with a highly developed drive to improve how things work.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- You can influence decisions with excellent verbal and written communications skills.
Description
You will partner closely with AIML Data and Siri engineering teams to build data, visualization, and other analytic products.
Develop microservices that enable easier, programmatic integration of analytics across the Siri organization.
Apply Siri speech and natural language understanding features to enable automated, online evaluation of the Siri user experience.
Apply ML rigor and complex algorithms in high impact projects. Evangelize findings throughout the organization to ensure integration of information into operational processes.
We are looking for people with a track record in building products and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages.
Education & Experience
You have a degree in a quantitative field (e.g., Computer Science, Statistics, or Engineering) with at least 5 years of industry experience. Advanced degree preferred.
Additional Requirements
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 $170,700.00 and $300,200.00, 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. 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 take affirmative action to ensure 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.
You will partner closely with AIML Data and Siri engineering teams to build data, visualization, and other analytic products.
Develop microservices that enable easier, programmatic integration of analytics across the Siri organization.
Apply Siri speech and natural language understanding features to enable automated, online evaluation of the Siri user experience.
Apply ML rigor and complex algorithms in high impact projects. Evangelize findings throughout the organization to ensure integration of information into operational processes.
We are looking for people with a track record in building products and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages.
You have a degree in a quantitative field (e.g., Computer Science, Statistics, or Engineering) with at least 5 years of industry experience. Advanced degree preferred.
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