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Machine Learning Scientist – NYC 2450 views

The people here at Apple don’t just build products — they 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 they do, from amazing technology to industry-leading environmental efforts. Join Apple, and help them leave the world better than they found it.

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? They are seeking a true machine learning data scientist to grow & develop Machine Learning & AI capabilities towards improving Apple‘s Wallet, Payments, and Commerce experience in services.

The Internet Software & Services WPC Analytics team (Wallet Payments and Commerce) is seeking a Machine Learning Scientist to work on building intuitive models to provide insights to their business. The ideal team member will be able to think outside of the box and should have a real passion for building analytics solutions to enable business partners to make sensitive and critical business decisions. Dynamic people, with inspiring and innovative technologies, are the norm here.

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 Payments & Commerce.

Key Qualifications

They seek a self-starter with strong leadership abilities.

Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways

Excellent problem solving, critical thinking, analytical and interpersonal skills

Able to work well with diverse roles such as product managers and engineers

Confirmed ability to handle multiple projects with strict deadlines

In-depth knowledge of machine learning algorithms and their applications including practical experience with 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 the machine learning life cycle and libraries in Python/Scala

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

Ability to comprehend and debug complex systems integrations spanning toolchains and teams

Ability to extract substantial business insights from data and identify the stories behind the patterns

Creativity to engineer novel features and signals, and to push beyond current tools and approaches


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

Education & Experience

Minimum 2 years of work experience with research and development for services.

Graduate degree in Computer Science, Statistics, or related fields. Postgraduate degrees highly preferred.

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