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Apple AIML - Data Science Engineer Siri Comprehension Planning United States, California, Cupertino 461754011
18.11.2024
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Description
As a data scientist on the team, you will play a key role in our development. You will have responsibilities ranging from data exploration, advanced statistical modeling, tuning deep learning models and evaluating their performance. You will apply innovative machine learning methods and statistical analysis to continually advance Siri’s capabilities.
Minimum Qualifications
- Hands on experience with handling large datasets and creating data processing pipelines.
- Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triage
- Strong background in Python development and experience using Python for data science work.
- Proficiency in data processing frameworks (Numpy / Pandas)
- Excellent communication: strong interpersonal, verbal and written skills
- Masters or PhD in Computer Science, Machine Learning, Data Science, Engineering or equivalent professional experience
Preferred Qualifications
- Experience creating and maintaining large scale, robust machine learning processes for use in a multi-person team
- Experience shipping and improving machine learning models in a production environment
- Experience developing data analytics pipelines for natural language understanding or digital assistants
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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.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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