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      Urgent! AIML- Machine Learning Engineer, Machine Learning Platform Technologies - Local Job Opening in Seattle
 
                        
                         **Role Number:**  200607382-3337
  
**Summary**
Imagine what you could do here.
At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly.
Bring passion and dedication to your job and there’s no telling what you could accomplish.
Do you want to make Siri and Apple products more intelligent for our users?
The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning.
Our infrastructure is the back-bone of Apple Intelligence.
It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.
As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at the scale of Apple.
  
**Description**
Join our dynamic team at Apple, where we design, build, and maintain large-scale infrastructure supporting search and AI features for billions of users globally.
In this team, you will have the opportunity to work on large-scale, complex systems that process trillions of records and petabytes of data.
You will design and implement scalable data mining information extraction algorithms and machine learning/deep learning models, work alongside Foundation Model Research teams to curate high-quality datasets for cutting-edge model architectures, and partner closely with product teams to build production-grade solutions for millions of customers in real time.
We value end-to-end ownership and meticulous attention to detail, providing an environment where you can tackle complex challenges at an unparalleled scale.
Your responsibilities will span the full service lifecycle, from conception and design to deployment and maintenance, offering a unique opportunity to influence Apple's AI-driven future.
  
**Minimum Qualifications**
  
+ Master's degree or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent experience
+ Strong experience in developing and evaluating scalable ML/DL features, demonstrating a passion for understanding and improving model/data quality
+ Strong programming skills and hands-on experience using one of the deep learning frameworks: PyTorch, Tensorflow or Jax.
+ 2+ years of experience or equivalent in large-scale data processing using programming language Java, Scala or Python.
+ Excellent interpersonal skills able to work independently and in close partnership with ML researchers
  
**Preferred Qualifications**
  
+ The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.
+ Experience managing rapid prototyping and proof-of-concept development in ML/AI
+ Familiar with challenges associated with training large models and working with large data
+ Understanding of ML operations, including model development, evaluation, and deployment
+ Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
+ Familiar with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server etc.
  
**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 9221 jobs in United States and 407 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 Engineer, Machine Learning Platform Technologies 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 Engineer, Machine Learning Platform Technologies 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 Engineer, Machine Learning Platform Technologies 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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            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AIML Machine Learning Engineer, Machine Learning Platform Technologies interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
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