Apple • Cupertino, CA 95015
Job #2659686519
Senior Machine Learning Engineer
Cupertino,California,United States
Machine Learning and AI
The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple is seeking a senior machine learning engineer to join our worldwide sales team, Data Solutions & Initiatives (DSI). DSI is a product strategy and engineering team that works closely with business development and sales finance. The ideal candidate will collect business requirements, prepare data sets, train, evaluate and deploy Machine Learning (ML) models, monitor their performance and retrain models if needed. These models will drive Apple critical financial planning and business activities.
Key Qualifications
10+ years of machine learning industry experience
Strong experience using machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, pytorch, mllib and others
Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
Strong production experience training and evaluating ML models with proper pipelines and metrics
Proficiency in at least one programming language, preferably Python
Strong knowledge and hands-on experience with SQL and different database technologies
Excellent written/verbal communication and interpersonal skills
Description
This role will build the suite of Data, AI, and Machine Learning products to deliver measurable business value for Sales and Finance Business community. - Collaborate with business stakeholders to clarify requirements, use cases and business metrics - Work with data engineers to set up the data pipeline and prepare data sets for model building - Work with business domain experts to understand the data and create features for model training - Design, build, and evaluate models. Partner with the SRE team to deploy the models for inference. Monitor the models' performance and re-train as needed - Communicate and explain the models to the business partners to secure adoption
Education & Experience
MS or PhD in Computer Science or equivalent field
Additional Requirements
Pay & Benefits
Apple Footer
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. Learn more about your EEO rights as an applicant (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
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 (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple • Cupertino, CA 95015 • Yesterday
Apple • Sunnyvale, CA 94086 • Yesterday
Apple • Cupertino, CA 95015 • 3 Days Ago
Apple • Cupertino, CA 95015 • 3 Days Ago
Stanford University • Stanford, CA 94305 • 7 Days Ago
First Citizens Bank • Santa Clara, CA 95054 • Apr 16
Abbott • Milpitas, CA 95035 • Mar 7
Accenture • Mountain View, CA 94039 • 5 Days Ago