1,782 jobs for "Platform Engineer"

Machine Learning Engineer - Strategic Data Solutions (Compliance)

At Apple

Posted on Oct 15

View job Apply on company site

Senior Leader, Worldwide Enterprise Strategy - Financial Services

At Apple - New York City Metro Area

Posted on Oct 15

View job Apply on company site

Sr Staff Database Engineer

At The Hartford - Charlotte

Posted on Oct 15

View job Apply on company site

Machine Learning Engineer Manager -

At Apple

Posted on Oct 14

View job Apply on company site

Sr Staff Database Engineer

At The Hartford - Hartford

Posted on Oct 13

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Tampa

Posted on Nov 7

View job Apply on company site

AI Engineer

At Fisher Investments - Tampa

Posted on Nov 7

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Camas

Posted on Oct 30

View job Apply on company site

AI Engineer

At Fisher Investments - Plano

Posted on Oct 30

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Plano

Posted on Oct 30

View job Apply on company site

AI Engineer

At Fisher Investments - Camas

Posted on Oct 30

View job Apply on company site

Senior Data Engineer - Remote Opportunity

At KinderCare Learning Companies - Remote / Flexible

Posted on Oct 23

View job Apply on company site

Vice President, Technology

At Aristocrat - London

Posted on Oct 14

View job Apply on company site

Director - Hyperion Platform Lead, Software Engineering

At BlackRock - London

Posted on Oct 23

View job Apply on company site

Manager, Software Engineering | Data & AI Platform

At Mastercard - Arlington

Posted on Oct 22

View job Apply on company site

Software Engineering Manager (Cross Platform Faces) - Watch Software

At Apple - Cupertino

Posted on Oct 16

View job Apply on company site

Engineering Manager Athena Platform Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 15

View job Apply on company site

Java Developer, Software Engineering, Associate- Regulatory Reporting

At BlackRock - New York

Posted on Nov 1

View job Apply on company site

Senior Engineering Program Manager, Apple Music - ML & Infrastructure, Apple Services Engineering

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Staff Experience Designer, AI Evaluation Platform

At Apple - New York City

Posted on Oct 19

View job Apply on company site

Apple

Machine Learning Engineer - Strategic Data Solutions (Compliance)

ChinaPosted 24 days ago

Apply on company site View full job

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. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

Apple's Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize business processes, and improve the customer journey across our programs. We are looking for a hardworking individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple and its customers.

As an SDS Machine Learning Engineer, you will design, build, and maintain the next generation of compliance services, consumed by both internal and external stakeholders, to drive strategic impact across multiple lines of business at Apple. You will use tools and platforms such as Python, Clojure, Splunk, SQL, and Spark, among others.

Apple's dedication to customer privacy, the evolving nature of regulatory requirements, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value!

Description
Engage with business teams to find opportunities, understand compliance requirements, and translate those requirements into technical solutions.
Design a data science approach, applying tried-and-true techniques or developing custom algorithms as needed for the compliance problem.
Collaborate with engineers and platform architects to implement robust production real-time and batch compliance decisioning solutions.
Ensure operational, regulatory, and business metric health by monitoring production decision points.
Investigate emerging risk typologies and regulatory changes, identify behavior patterns, and respond with agile logic updates.
Communicate results of analyses to business partners and executives, and partner with teams across Apple to find additional opportunities and services that improve loss avoidance and the overall customer experience.

Preferred Qualifications
Experience with financial crimes compliance, such as AML, KYC, sanctions screening, or transaction monitoring.
Experience with model explainability, documentation, and auditability in regulated environments.
Ability to comprehend and debug complex systems integrations spanning toolchains and teams.
Ability to extract meaningful business insights from data and identify the stories behind the patterns.
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways.
Creativity to engineer novel features and signals, and to push beyond current tools and approaches.
Experience with Splunk or similar log analytics tools.

Minimum Qualifications
Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.
Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark.
Ability to implement analytical pipelines and applications in a general programming language such as Python, Scala, Java, or Clojure.

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

View company profile