Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
Overhaul platform ecosystem architectures and develop data intelligence assistants.
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Producing regular quality performance reports, highlighting trends, areas of concern, and performance against established KPIs
Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations
Providing ad-hoc analysis and insights to support business decision-making, ensuring safety operations strategies are data-driven and aligned with business priorities
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Assist in formulating timely, and data-backed responses to emerging and/or current monetisation risks
Collaborate with cross-function stakeholders, including Policy and Product, to investigate risk signals, optimise solutions and resolve monetization risk escalations
Act as a touch point for risk control advisor who supports integrity teams performing risk assessments, advising teams on risk management, and risk strategies.
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Collaborate with cross-functional teams to deliver event data ingestion, transformation, and storage solutions that meet diverse business requirements.
Troubleshoot and resolve complex issues in production systems, ensuring minimal downtime and optimal performance.
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Work closely with engineering, data science, and cross-functional partners to drive product execution and deliver high-quality advertising solutions
Track and analyze key product and performance metrics, using data to inform product decisions and continuous iteration
Stay informed about industry trends in mobile advertising, gaming and AI-driven advertising technologies, and contribute to product innovation in a global market
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SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template. Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues. Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.
Creation of GDS: Help create, maintain and iterate the Golden Data Set. CS Exam creation linked to GDS.
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Minimum Qualifications:- PhD degree in computer, electronics, mathematics and other related majors.- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.Preferred Qualifications:- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.If you have any questions, please reach out to us at [email protected].
Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
Pursue extreme performance optimization in the storage layer, computing layer, or application layer.
Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
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Collaborate with fellow engineers, product managers, and business owners in the team to ensure timely delivery of business requirements.
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.
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Research and apply cutting-edge domain and technical knowledge into products
Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline
Proficient in at least one of the following languages: Go, Python, Java, C++.
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Have first-hand experience contributing to TikTok's key security initiatives.
Build scalable, resilient, intelligent integrity solutions that are also privacy-safe and user-friendly.
Solve product and technical challenges that are often first-seen and highly adversarial. Both quick short term tactics and long term strategical moves are expected at various paces.
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To develop infrastructures such as engineering solutions that will be supporting TikTok Live's business and productivity tools and platforms.
Create the ultimate user experience and support the growth and development of the TikTok Live Ecosystem with high-quality design and coding.
Explore and implement efficient collaboration methods to enhance the efficiency of remote and cross-regional communication and support the iteration of our business.
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Support the entire process of AI projects, including model data collection, training, evaluation, delivery and iteration.
Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
Familiar with model development processes, understand common deep learning frameworks (such as PyTorch, TensorFlow) ,practical experience in areas such as Machine Learning, NLP, CV, MultiModal Machine Learning, etc., those with top computer science conference papers will be given priority ;
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General HRBP Support: Assist with other HRBP-related initiatives, including employee engagement, recruitment, and company culture activities as needed.
Undergraduate or Postgraduate currently pursuing a Degree/Master in Human Resources, Business Administration, and related fields.
Interest in HR, learning & development, and market research.
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