492 jobs for "Senior Java Engineer"

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Lead Software Engineer - (14-18 years - Java, Distributed Systems, Microservices, Cloud, Security, Platform Engineering, Gen AI)

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Senior Lead Software Engineer

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Senior Software Development Engineer in Test

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Senior Quality Assurance Engineer

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Senior Lead Software Engineer - ML Engineer

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Senior Quality Assurance Engineer - Playwright & WebdriverIO

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Senior Signals Software Engineer

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Posted on Jul 23

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Senior Signals Software Engineer

At Leidos - Annapolis Junction

Posted on Jul 23

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Senior Machine Learning Engineer Manager - TikTok Trust & Safety

At TikTok - San Jose

Posted on May 12

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Senior Machine Learning Engineer, TikTok BRIC Account Security (Singapore)

At TikTok

Posted on Apr 9

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Senior IT Software Engineer

At Palo Alto Networks - Bengaluru

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Senior Software Development Engineer - Data

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Senior Staff Software Engineer- UKG Ready Payroll

At UKG - Lowell

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Sr Lead Software Engineering - Java, AWS, React

At JPMorgan Chase - Bengaluru · Mumbai

Posted on Nov 6

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Senior AML IT Developer

At TD Bank - Toronto

Posted on Oct 2

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Java AI Lead Software Engineer, Automation and Reliability

At JPMorgan Chase - Columbus · Plano

Posted on Oct 30

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TikTok

Senior Machine Learning Engineer, TikTok BRIC Account Security (Singapore)

SingaporePosted Apr 9, 2026

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Responsibilities

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles. You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities:
- Take ownership of account security issues across TikTok and other overseas product lines (short video, live streaming, payment, e-commerce, local services, etc.).
- Leverage large-scale behavioral data from hundreds of millions of accounts, applying algorithms to mine massive datasets and identify various account security issues, including but not limited to fake registrations, account takeovers, account trading, account nurturing, and session hijacking.
- Analyze and uncover hidden data correlations to build an account risk perception framework, enabling early detection and rapid response to emerging risks.
- Contribute to the development of account risk control infrastructure, including data warehouses, feature engineering, and machine learning models.

Qualifications

Minimum Qualifications:
- Master's degree or above in Computer Science, Statistics, Artificial Intelligence, or a related field.
- Solid engineering skills. Proficiency in one or more programming languages such as C++, Java, or Python.
- Familiarity with big data technologies such as SQL/HQL, and hands-on experience with one of Hadoop, Hive, Spark, or Flink.
- Solid understanding of machine learning, deep learning, and large language models; knowledge of clustering, community detection, and related techniques, with the ability to validate algorithm effectiveness and apply them to risk control scenarios.

Preferred Qualifications:
- Prior experience in combating online fraud, abuse, or anti-cheating in the internet industry .
- Familiarity with emerging technologies such as large language models (LLMs) and AI Agents.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Master's degree or above in Computer Science, Statistics, Artificial Intelligence, or a related field.
- Solid engineering skills. Proficiency in one or more programming languages such as C++, Java, or Python.
- Familiarity with big data technologies such as SQL/HQL, and hands-on experience with one of Hadoop, Hive, Spark, or Flink.
- Solid understanding of machine learning, deep learning, and large language models; knowledge of clustering, community detection, and related techniques, with the ability to validate algorithm effectiveness and apply them to risk control scenarios.

Preferred Qualifications:
- Prior experience in combating online fraud, abuse, or anti-cheating in the internet industry .
- Familiarity with emerging technologies such as large language models (LLMs) and AI Agents.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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