AIML - Senior Machine Learning Engineer, Computer Vision, Siri and Information Intelligence
Apple
Summary
Description
Minimum Qualifications
- 7+ years of professional work experience applying machine learning to real-world problems, and crafting scalable and effective data solutions.
- Strong domain knowledge in at least one of the following: NLP, conversational AI, speech recognition
- Excellent programming skills in Python
- Excellent data analytical skills. Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis
Key Qualifications
Preferred Qualifications
- Strong background in A/B testing procedure, causal analysis, and cohort analysis.
- Exposure to model interpretability techniques and their real-world advantages/drawbacks
- Good Conversational AI domain knowledge
- Experience working with end-to-end pipelines and/or crowd-sourced data labeling
- Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
- Excellent problem solving, critical thinking, and communication skills.
- Domain knowledge in applied statistics and experimental design is big plus!
- Enthusiasm for continuing to learn state-of-the-art techniques in machine learning/data science
- Education
- B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, Physics or related fields is preferred.
Education & Experience
Additional Requirements
Pay & Benefits
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.