AIML - Machine Learning Engineer, Siri and Information Intelligence
Full Time
Seattle, WA
Posted
Job description
Summary
Posted: Mar 17, 2023
Weekly Hours:
40
Role Number:
200469522
Do you want to leverage your ML skills and NLP domain knowledge to play an important role in the next revolution of Natural Language Understanding/Conversational AI? Would you like to join the team that’s creating groundbreaking conversational assistant technologies that already helps millions of people get things done on daily bases? Join the Siri team at Apple! As a Machine Learning Engineer within Siri team, you will define new approaches for evaluating ML based systems, conversational AI, and model interpretability. You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models. You will work with large amounts of real-world data to analyze and propose changes to Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors.
Key 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, information retrieval, data mining, speech recognition
- Excellent programming skills in Python
- Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
- Excellent data analytical skills. Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis
- 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
Description
As Siri is becoming increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience. The Siri team leads the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience. You will contribute to a product that is redefining computing. You will be part of a team that’s creating groundbreaking conversational assistant technologies for both large scale systems and new client devices. You will work with the people who created the intelligent assistant that already helps millions of people get things done. This is a fast-paced role with high visibility, impact, and ensures we build the most advanced AI systems in the industry.
Education & Experience
B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, Physics or related fields.
Additional Requirements
- 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
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 $144,500 and $250,000, 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.
colinoncars.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, colinoncars.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, colinoncars.com is the ideal place to find your next job.