5 jobs for "Senior Machine Learning Engineer, Recommendation - TikTok eCommerce"

Senior Machine Learning Engineer

At Apple - Austin

Posted on Oct 12

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Senior Machine Learning Engineer

At Apple - Austin

Posted on Oct 12

View job Apply on company site

Senior Machine Learning Engineer

At Apple - Austin

Posted on Oct 12

View job Apply on company site

Senior ML Engineer

At Aristocrat

Posted on Nov 3

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Senior Software Engineer - AL/ML Platforms

At Nike - Beaverton

Posted on Oct 29

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Apple

Senior Machine Learning Engineer

Austin, TX$184,700 – $324,800Posted 27 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 ›

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to work on new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers ever day.

Description

To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with multi-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.

Give to the ongoing improvement of our ML infrastructure and tooling.

Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.

Mentor junior MLEs on the team to ensure best practices are followed.

Preferred Qualifications

PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).

Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.

Skilled in communication, problem solving, critical thinking.

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.

Experience with Spark, TensorFlow, Keras, and PyTorch a plus

Minimum Qualifications

Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience.

5+ years of related experience building high throughput scalable applications or building machine learning models.

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.

Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output.

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 $324,800, 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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