Summary

Description

Minimum Qualifications

• BS in Computer Science, Machine Learning, or related fields and 5+ years post grad experience in a related role
• Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch
• Experience with serving and deploying ML models at scale
• Proficiency in working with SQL/NoSQL databases
• Proficiency in Scala, Java, and/or C++
• Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
• Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment

Preferred Qualifications

• MS plus 4 years post-grad work experience or PhD plus 2 years post-grad experience in Computer Science, Machine Learning, or related fields
• Consistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journals
• Experience with large-scale data processing systems (e.g., Spark, Hadoop, Cassandra, Kafka)
• Experience with geospatial data analysis and modeling or transportation science
• Domain expertise in transportation, navigation, or time series prediction
• Experience with cloud technologies and distributed systems

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 $175,800 and $312,200, 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. Learn more about your EEO rights as an applicant.