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Urgent! Machine Learning / AI Internships Job Opening In – Now Hiring Apple
**Role Number:** 200606469-3810
**Summary**
Within Apple’s Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life.
Apple’s fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy.
We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness.
As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable.
Come collaborate with some of the best in the business and help build the world's most innovative products and experiences.
**Description**
In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges.
You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections.
Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful.
At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership.
Where appropriate, you will have the opportunity to submit your work for publication at a suitable conference.
**Minimum Qualifications**
+ Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent.
Doctoral degree paths are preferred for research focused internships.
+ At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.
**Preferred Qualifications**
+ It’s helpful if you meet one or more of the following qualifications, but it isn’t a requirement
+ Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
+ Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
+ Practical knowledge related to building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas
+ Familiarity with crafting, prototyping, and evaluating interactive systems
+ Excellent mathematical skills in linear algebra and statistics
+ Ability to collaborate with others
+ Problem solving skills
+ Applied ML Engineering internships: Experience with integrating research prototypes into production applications.
Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies.
Experience crafting, conducting, analyzing, and interpreting experiments and investigations
+ Demonstrated expertise with proven publication or track record in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory
+ Research-Focused internships: Currently pursuing a doctoral degree.
Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
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 Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in , 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 Machine Learning in , 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 11037 jobs in United States and 0 jobs in . This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning 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 Machine Learning / AI Internships 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 Machine Learning / AI Internships Jobs United States varies, but the pay scale is rated "Standard" in . 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 Machine Learning / AI Internships 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 Machine Learning / AI Internships 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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