12 jobs for "Machine Learning Engineer - Core Feed Recommendation - Singapore"

Senior Software Engineer, Security/Privacy, Enterprise Technology Services

At Apple - Sunnyvale

Posted on Oct 19

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Lead Machine Learning Engineer

At Nike - Beaverton

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Platform Engineer, Privacy Preserving ML

At Apple - Cupertino

Posted on Oct 19

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Software Engineer - Test and Validation

At Apple - San Diego

Posted on Oct 17

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Senior Machine Learning Engineer, Natural Language Generation

At Apple - Seattle

Posted on Oct 17

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Platform Engineer, Privacy Preserving ML

At Apple - Cupertino

Posted on Oct 19

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Software Engineer - Test and Validation

At Apple - San Diego

Posted on Oct 17

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Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

At Apple - Austin

Posted on Oct 19

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Sr. Software Development Engineer, AI & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 17

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Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

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Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

View job Apply on company site

Apple

Senior Software Engineer, Security/Privacy, Enterprise Technology Services

Sunnyvale, CA$184,700 – $277,600Posted 20 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

At Apple, new insights have a way of becoming revolutionary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The Emerging Technologies team specializes in building forward-looking, extremely scalable platforms. The team has a passion for solving challenging problems, exploring new domains, and engineering transformational solutions. The diversity of our team and thinking inspires innovation that runs through everything we do.

Description

We are looking for a talented software engineer with expertise in designing and developing some of the largest and most scalable applications in the world. This core engineering role requires you to be hands-on in coding, building and tuning extremely scalable, distributed services. You will design and build novel software solutions utilizing applied machine learning and generative AI algorithms at scale. You need to have a track record that demonstrates innovation, strong collaboration, excellent interpersonal skills. You will work with engineering teams and business partners across Apple. Our engineering team fosters creativity and builds novel solutions to deliver engineering perfection.","responsibilities":"In this role, you will help build global scale security solutions in the space of Security, Behaviour learning, Privacy, and more. You will work with a passionate team with the goal of making the Internet safer for everyone. You will build full stack solutions that handle extremely large volumes of critical data harnessing the power of Cryptographic Privacy Protocols, NoSQL, Machine Learning, Big Data, and other emerging technologies. If you're excited about being challenged, building the next generation of security solutions, and making a significant impact in the tech world, we want to hear from you.

Preferred Qualifications

Demonstrated success providing guidance and mentorship to junior engineers.

Experience with using Privacy enabling technologies to deliver solutions.

Experience with monitoring deployed solutions for performance, drift, and service level objectives (SLO)

Good verbal and written communication skills, and interpersonal skills.

Minimum Qualifications

6+ years of experience in Software Engineering, DevOps, or Site Reliability Engineering.

Lead the design and architecture of scalable, distributed systems.

Skilled in cloud technologies such as AWS or GCP, container technologies such as Docker and Kubernetes, and Microservices.

Solid understanding of applied Machine Learning, deep Learning (including LLMs), NLP and running machine learning tasks on cloud compute.

Expertise in tuning, profiling, and optimizing applications written in polyglot settings (languages such as Java, Rust or Swift on Sever).

Knowledge in Relational, NoSQL Databases, and Microservices.

Innovative, think out of the box, and have a strong drive for excellence.

Bachelor's Degree in Computer Science/Computer Engineering or equivalent.

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 $184,700 and $277,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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