Senior Machine Learning Engineer

Cupertino, California, United States
Machine Learning and AI
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Summary

Posted:
Weekly Hours: 40
Role Number:200508642
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

  • 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 $199,800.00 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.
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