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Urgent! AIML - Machine Learning Researcher, Data and ML Innovation Job Opening In Seattle – Now Hiring Apple
**Role Number:** 200591371-3337
**Summary**
The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.
We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.
As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.
This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
**Description**
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple.
We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services.
This role will have the following responsibilities:
- Analyzing search ranking and relevance requirements, issues and opportunities
- Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, ranking and query understanding problems
- Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search
- Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
**Minimum Qualifications**
+ PhD, MS or equivalent experience
+ Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
+ Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
+ Proficiency in one of following languages: Python, Go, Java, C+ **Preferred Qualifications**
+ Excellent data analytical skills
+ Good interpersonal skills and team player
+ PhD preferred
**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 $139,500 and $258,100, 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.
(https://www.apple.com/careers/us/benefits.html)
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 seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your AIML Machine Potential: Insight & Career Growth Guide
Real-time AIML Machine Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AIML Machine in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 9083 jobs in United States and 371 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in AIML Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a AIML Machine Learning Researcher, Data and ML Innovation to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AIML Machine Learning Researcher, Data and ML Innovation Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AIML Machine Learning Researcher, Data and ML Innovation typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AIML Machine Learning Researcher, Data and ML Innovation interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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