21 days old

Machine Learning Scientist - NYC

New York, NY 10007
  • Job Code
    200190959
Summary

Summary

Posted: Oct 17, 2020

Role Number:200190959

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the...Summary

Summary

Posted: Oct 17, 2020

Role Number:200190959

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

The Internet Software & Services WPC Data Science and Business Intelligence team (Wallet, Payments & Commerce) is seeking a Machine Learning Scientist to work on building ML models to provide insights to our business. The ideal team member will be able think outside of the box and should have a passion for building solutions to enable business partners make critical business decisions. Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Be a part of the future of Wallet, Payments & Commerce.

Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? We are seeking a machine learning data scientist to grow & develop Machine Learning & AI capabilities towards improving Apple's Wallet, Payments, and Commerce experience in services.

Key Qualifications

  • Excellent problem solving, critical thinking, analytical and interpersonal skills
  • In-depth knowledge of machine learning algorithms and their applications including practical experience and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Deep understanding of statistics and/or applied math as a basis for choosing techniques and crafting experiments
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java, or Spark
  • Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Experience in crafting a measurement strategy to evaluate the performance of complex systems against challenging requirements

Description

Be ready to make something phenomenal when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it.

You will deal with large-scale data set with intensive hand-on code development. In addition, this role will be responsible for the following: collect, process and cleanse raw data from a wide variety of sources. Transform and convert unstructured data set into structured data products. Identify, generate, and select modeling features from various data set. Train and build machine learning models to meet business goals. Innovate new machine learning techniques to address business needs. Analyze and evaluate performance results from model execution.

Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success in our group. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to tackle challenging problems that have a substantial impact.

Work closely with Analytics, Product, and Services teams to understand data and solution requirements
Design and build highly scalable data pipelines using tools such as Spark and Hadoop to pull data from various systems
Translate complex business requirements into scalable technical solutions meeting data warehousing design standards
Collaborate with multiple multi-functional teams and work on solutions that have large impacts on Payments and Commerce business products and services
Interact with many internal teams to lead and deliver best-in-class products in an exciting fast-paced environment
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Can work effectively with diverse roles such as business leaders, product managers & engineers

Education & Experience

Minimal 2+ years of full-time work experience in applying Machine Learning for services & products.

Masters degree in Computer Science, Statistics or related fields is required. Ph.D. degree highly preferred.

Additional Requirements

Posted: 2020-10-09 Expires: 2020-11-08

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Machine Learning Scientist - NYC

Apple, Inc.
New York, NY 10007

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