Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Apple • Austin, TX

10h

About The Position

Apple's Strategic Data Solutions (SDS) team is looking for a hard-working
individual who is passionate about implementing and operating analytical
solutions that have direct, measurable impact to Apple and its customers. As a
CV MLE on the SDS team, you will build end-to-end solutions for preventing
fraud, waste, and abuse while safeguarding the customer experience. The
day-to-day work consists of identifying new fraud leads by connecting different
data sources together; working with a team of annotators to curate a labeled
image dataset; building computer vision pipelines or training ConvNet models;
deploying the analytic product into a real-time decisioning platform; and
ensuring ongoing operational excellence by monitoring and making operational
adjustments. The adversarial nature of fraud and the large scale of the business
make for exciting challenges. On this team, we apply a variety of data science
approaches towards the mitigation of fraud!

DESCRIPTION

• Translate business needs into technical solutions. Work with program managers,
data scientists, and business partners to incorporate analytic solutions into
business processes • Explore tabular and image datasets to identify patterns of
fraudulent behavior • Move quickly to combat adversarial attacks by developing
and deploying updated models • Analyze data and communicate findings to
audiences with various technical backgrounds (e.g., engineers, program managers,
and executives) • Coordinate with engineers and system administrators to deploy
analytics to a real-time decisioning platform • Identify and implement new data
science tools to complement the existing capabilities of the team

Requirements

• M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or other technical field with experience in computer vision or machine learning or equivalent
• 2 years of proven experience
• Practical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN)
• Ability to code and debug in a general programming language such as Python or Java
• Ability to extract business insights from data and identify the stories behind the patterns
• Ability to navigate complex systems spanning toolchains and teams

Nice To Haves

• Ability to use a querying language such as SQL to extract insights from data
• Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
• Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
• Team-oriented skills and values to facilitate effective collaboration with business and technical partners

Responsibilities

• Translate business needs into technical solutions.
• Work with program managers, data scientists, and business partners to incorporate analytic solutions into business processes
• Explore tabular and image datasets to identify patterns of fraudulent behavior
• Move quickly to combat adversarial attacks by developing and deploying updated models
• Analyze data and communicate findings to audiences with various technical backgrounds (e.g., engineers, program managers, and executives)
• Coordinate with engineers and system administrators to deploy analytics to a real-time decisioning platform
• Identify and implement new data science tools to complement the existing capabilities of the team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees