Apple
Senior Software Engineer, Enterprise Technology Services
Apple, Sunnyvale, California, United States, 94087
Overview
Senior Software Engineer, Enterprise Technology Services — Sunnyvale, California, United States
Software and Services
Description We at Emerging Technology Solutions Team, are passionate about building bleeding edge solutions operating at Internet Scale. In this role, you will help build global scale security solutions in the space of Anti Phishing/ Spam, Social Engineering Attack Prevention and more. You will work with a passionate team intent on making the Internet safe for everyone and will build full stack solutions that handle outstandingly large volumes of critical data harnessing the power of NoSQL, Machine Learning, Big Data and other Emerging Technologies. If you\'re excited by the challenge of building the next generation of security solutions and want to make a significant impact in the tech world, we want to hear from you.
Responsibilities
Hands-on development role building and tuning highly scalable, distributed services that handle large volumes of data.
Collaborate with partners, project managers and cross-discipline teams to deliver engineering solutions.
Contribute to architecture and design discussions for security-focused, high-scale systems.
Minimum Qualifications
Bachelor’s Degree in Computer Science/Computer Engineering or equivalent.
5+ years of technical experience designing, building, and maintaining data pipelines and platforms.
Programming experience in Java.
Solid understanding of Machine Learning, Deep Learning (including LLMs) and Natural Language Processing.
Hands-on experience working (training, fine-tuning, optimizing, deploying) with ML models.
Good understanding of various distributed system concepts.
Knowledge in Relational and NoSQL Databases, Object Oriented Analysis and Design, and Microservices.
Preferred Qualifications
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Experience with LLM training/fine-tuning.
Experience with vector stores, ranking and retrieval techniques is a plus.
Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce resource consumption and/or latency.
Dedicated and self-motivated; innovative with a strong drive for excellence.
Good interpersonal skills with strong oral and written communication.
M.S or Ph.D. in Computer Science, Electrical Engineering, or equivalent experience.
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $318,400, 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, and may receive discretionary restricted stock unit awards or stock purchase plan benefits. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and services, and education expense reimbursement. This role might be eligible for discretionary bonuses or relocation assistance. Learn more about Apple Benefits at the official site (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.
EEO & Compliance 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
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program: https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more. Apple is a drug-free workplace.Reasonable Accommodation and Drug Free Workplace policy Learn more.
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you\u2019re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
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Software and Services
Description We at Emerging Technology Solutions Team, are passionate about building bleeding edge solutions operating at Internet Scale. In this role, you will help build global scale security solutions in the space of Anti Phishing/ Spam, Social Engineering Attack Prevention and more. You will work with a passionate team intent on making the Internet safe for everyone and will build full stack solutions that handle outstandingly large volumes of critical data harnessing the power of NoSQL, Machine Learning, Big Data and other Emerging Technologies. If you\'re excited by the challenge of building the next generation of security solutions and want to make a significant impact in the tech world, we want to hear from you.
Responsibilities
Hands-on development role building and tuning highly scalable, distributed services that handle large volumes of data.
Collaborate with partners, project managers and cross-discipline teams to deliver engineering solutions.
Contribute to architecture and design discussions for security-focused, high-scale systems.
Minimum Qualifications
Bachelor’s Degree in Computer Science/Computer Engineering or equivalent.
5+ years of technical experience designing, building, and maintaining data pipelines and platforms.
Programming experience in Java.
Solid understanding of Machine Learning, Deep Learning (including LLMs) and Natural Language Processing.
Hands-on experience working (training, fine-tuning, optimizing, deploying) with ML models.
Good understanding of various distributed system concepts.
Knowledge in Relational and NoSQL Databases, Object Oriented Analysis and Design, and Microservices.
Preferred Qualifications
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Experience with LLM training/fine-tuning.
Experience with vector stores, ranking and retrieval techniques is a plus.
Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce resource consumption and/or latency.
Dedicated and self-motivated; innovative with a strong drive for excellence.
Good interpersonal skills with strong oral and written communication.
M.S or Ph.D. in Computer Science, Electrical Engineering, or equivalent experience.
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $318,400, 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, and may receive discretionary restricted stock unit awards or stock purchase plan benefits. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and services, and education expense reimbursement. This role might be eligible for discretionary bonuses or relocation assistance. Learn more about Apple Benefits at the official site (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.
EEO & Compliance 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
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program: https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more. Apple is a drug-free workplace.Reasonable Accommodation and Drug Free Workplace policy Learn more.
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you\u2019re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
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