Author: The Hub

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

• Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
• Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
• payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
• Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
• Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
• Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
• Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Develop system level traffic triaging service to elastically allocate capacity to different model service.
• Conduct algorithm examination and redesign model space to improve system efficiency.
• Develop model launch guidelines to optimize system return of investment.

Minimum Qualifications

• Requires a Master’s degree in Computational Data Science, Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
  Requires completion of a university-level course, research project, internship or thesis in the following:
• 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
• 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
• 3. Translating insights into business recommendations
• 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
• 5. Developing and debugging in C, C++, and Java
• 6. Scripting languages: Perl, Python, PHP, or shell scripts
• 7. C, C++, C#, or Java
• 8. Python, PHP, or Haskell
• 9. Relational databases and SQL
• 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
• 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
• 12. Build highly-scalable performant solutions
• 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
• 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
• 15. Distributed systems.

LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

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. 215.658 $/year to 240.240 $/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers.

Job Summary

As a Client Data Analyst within our KYC/AML team, you will be an team member contributor responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development.

Job Responsibilities

• This will be an team member contributor role and you would need an Understanding, implementation of KYC standards, guidelines, policies, and procedures.
• Handle and maintain confidential client documentation.
• Collection and verification of confidential client data via publicly available and internal sources
• Understand the firm’s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD),
• Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD)
• Review of client data/processes to meet firm wide quality standards
• Interpret alerts and communicating to management when applicable
• Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. 

Required Qualifications, Skills and Capabilities

• Bachelor’s Degree or Graduate Degree.
• Knowledge of KYC is essential with at least 4 years’ experience (Audit, Control, Risk, AML, and Research may also be areas of experience)
• Strong research, analytical and comprehension skills, with ability to analyze large amounts of data
• Client focused with great customer engagement skills
• Experience in adhering to controls and compliance standards
• Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.