Senior Applied Machine Learning Engineer
5 days ago
We are looking for a highly motivated and hands-on applied machine learning engineer to lead the way on our Online Retail Decision Automation team. The ideal candidate will have a strong machine learning background and proven software development skills, with experience in developing models for product search, recommendation systems, personalization, and generative AI.
Responsibilities:
- Develop the next generation of algorithms used to drive the Apple Online experience, including product search, recommendation systems, personalization, and generative AI.
- Collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms.
- Mentor other machine learning engineers and lead an effort to build scalable end-to-end machine learning solutions for our retail customers.
Requirements:
- 10+ years of related experience, including 5+ years experience in machine learning.
- Proficiency in one or more object-oriented programming languages, such as Python, Java, C++.
- Experience building highly scalable distributed systems and big data technologies, including Spark, SQL, Snowflake/Hadoop, etc.
Preferred Qualifications:
- Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- 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, and critical thinking.
At Apple, we are committed to fostering a culture of inclusion and diversity, where everyone belongs and is inspired to do their best work. We offer a comprehensive benefits package, including comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about machine learning and retail decision automation, we encourage you to apply for this exciting opportunity.
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