Frontend Engineer Graduate (TikTok Shop - Customer Business) - 2026 Start (BS/MS) | Tiktok | Singapore

 Frontend Engineer Graduate (TikTok Shop - Customer Business) - 2026 Start (BS/MS) | Tiktok | Singapore

Frontend Engineer Graduate (TikTok Shop - Customer Business) - 2026 Start (BS/MS)

Location:

Singapore

Employment Type:

Regular

Job Code:

A50088

Responsibilities

About the team

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands.

The team is responsible for developing all of TikTok Shop South East Asia businesses - which will involve exciting projects covering user growth, homepage, discovery channel. You'll be tasked with creating a TikTok Shop Platform, collaborating closely with engineers around the globe.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Responsibilities:

- Develop efficient, highly scalable, and secured services to build/integrate e-Commerce solutions for TikTok Shop.

- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

- Be responsible for building an intuitive and reliable shopping experience, including browsing product details, check-out, shopping, return, refund etc.

- Be responsible for TikTok's Shop Tab, building platforms and tools for merchants, clients, and businesses to manage campaigns, deliver the best results, and receive actionable insights.

Qualifications

Minimum Qualifications:

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.

- Coding experience with a general purpose programming language (HTML5/CSS3/JavaScript).

- Experience with any major Javascript framework like ReactJS, AngularJS, VueJS, or equivalent.

Preferred Qualifications:

- Excellent problem-solving and analytical thinking skills.

- Enthusiastic about quality, design, and user experience.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

https://lifeattiktok.com/search/7529798718955358472

Machine Learning Engineer Graduate Short Video Content Ecology - 2026 Start (PhD) | Tiktok | San Jose

 Machine Learning Engineer Graduate Short Video Content Ecology - 2026 Start (PhD) | Tiktok | San Jose

Machine Learning Engineer Graduate Short Video Content Ecology - 2026 Start (PhD)

Location:

San Jose

Employment Type:

Regular

Job Code:

A99837

Responsibilities

The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-businesses under the short video business line.

Our focus areas include:

- TikTok Intelligent Customer Service: Utilizing large language models to address intelligent customer service and commercial customer service challenges.

- TikTok Local Services: Employing multimodal understanding technologies to solve content understanding and governance issues in local services.

- TikTok Search: Applying AI capabilities to provide hot event/topic discovery, event extraction, and summarization for the search business line.

- TikTok Creator Understanding: Developing multimodal creator modeling and profiling capabilities to support downstream recommendation, search, and content safety applications, enhancing the platform’s understanding of creators’ behavior, styles, and influence.

- Agentic LLM Applications: Building agent-style LLM systems that can autonomously plan, act, and interact to solve complex user and business problems across domains such as customer service, search, and creator tools.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Qualifications

Minimum Qualifications:

- PhD Degree in Computer Science or a related major.

- Experienced in programming and algorithmic skills, proficient in languages such as Python or C++.

- Deep understanding of one of the following areas: NLP (Natural Language Processing), CV (Computer Vision), LLM (Large Language Models)/MLLM (Multimodal Language Models), Search, or Agentic AI.

- Experienced in one or more of the following topics: TensorFlow, PyTorch, or other machine learning frameworks.

- Good team communication and collaboration skills.

Preferred Qualifications:

- Experience in building ML model development for large-scale consumer-facing applications.

- Experience or domain expertise in one or more of the following areas is preferred: NLP, CV, LLM/MLLM, Agentic LLMs, Dialog Systems, Search, Recommendation Systems, or Creator Modeling.

- Published papers or hands-on project experience in the fields of NLP, CV, agent-based systems, or multimodal technologies.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $259200 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. Exercising sound judgment.​

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

https://lifeattiktok.com/search/7530979904155683079

Backend Engineer - AML Engine Orchestration | Tiktok | Singapore

 Backend Engineer - AML Engine Orchestration | Tiktok | Singapore

Backend Engineer - AML Engine Orchestration

Location:

Singapore

Employment Type:

Regular

Job Code:

A225574A

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Team Introduction

The mission of our AML team is to push next-generation machine learning algorithms and platforms for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact on core businesses of the company.

1. Resource Efficiency Optimization in Distributed Orchestration and Scheduling：

- Develop and extend distributed orchestration frameworks within the Kubernetes/Godel ecosystem. Select appropriate frameworks based on different business scenarios, and optimize cluster utilization and load balancing strategies according to the specific characteristics of each scenario;

- Integrate and expand AutoScaling and automatic parallelization capabilities for various models and tasks. Employ load modeling and analytic methods for different models to automatically optimize resource requests, achieving large-scale improvements in resource usage efficiency and global optimality;

- Responsible for preemption and re-scheduling mechanisms for services with different priorities, and manage automatic resource multiplexing across different clusters and resource types; handle scheduling and load adaptation across multi-datacenter, multi-region, and multi-cloud environments.

2. Building Training System Architecture for Next-Generation Ultra-Large and Ultra-Deep Recommendation Models:

- Develop a flexible, elastic and robust distributed training runtime focused on hyper-scaled embeddings and large-scale GPU training;

- Design and optimize distributed computing APIs and runtimes geared towards future recommendation and ads model paradigms (e.g., reinforcement learning, fine-tuning and/or distillation);

- Collaborate with platform teams to enhance the diagnosability and usability of distributed training systems.

3. Constructing Online Orchestration Architecture for Next-Generation Recommendation Systems:

- Build a robust and stable distributed model inference architecture for online learning scenarios involving hyper-scaled embeddings;

- Optimize the usability of online recommendation and ads model architectures and MLops workflows.

Qualifications

Minimum Qualifications:

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as Golang, Python.

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling).

- Strong analytical abilities and problem solving.

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 3 years of relevant experience.

Preferred Qualifications:

- Familiar with large-scale distributed scheduling systems like Kubernetes, Yarn, Flink and/or Spark

- Familiar with opensourced orchestration frameworks like VeRL, vLLM, Ray or TFX, etc.

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

https://lifeattiktok.com/search/7542714368766396680

Research Engineer Graduate Online Architecture- 2026 Start (PhD) | Tiktok | Seattle

 Research Engineer Graduate Online Architecture- 2026 Start (PhD) | Tiktok | Seattle

Research Engineer Graduate Online Architecture- 2026 Start (PhD)

Location:

Seattle

Employment Type:

Regular

Job Code:

A86388

Responsibilities

The TikTok General Architecture team sits at the intersection of business and infrastructure, responsible for designing and optimizing the planet-scale business architecture that supports billions of users worldwide. Our mission is to embrace AI, build the most advanced business architecture infrastructure, establish public trust and compliance, focus on resource management and cost optimization, user experience and reliability, engineering quality, and development efficiency. Here, you will not only experience how technology directly empowers top-level business, but also deepen your technical expertise in planet-scale architecture research and engineering practices—transforming cutting-edge theory into real-world production solutions. Join us in exploring and driving the evolution of the next-generation planet-scale business architecture!

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

- Conduct research and optimization for TikTok’s ecosystem, serving billions of users worldwide, supported by globally distributed, ultra-large-scale data center clusters, and the industry’s largest microservice system (over one million distinct services).

- Perform data modeling and algorithmic optimization on complex business architecture systems, applying scientific methods to solve key challenges in ultra-large-scale infrastructure and business architecture, including but not limited to capacity forecasting and planning, service and data placement optimization, traffic scheduling optimization, and risk prediction and prevention.

- Deliver significant business and academic value through architecture optimization:

1. Achieve substantial cost savings at the world’s largest internet scale;

2. Enhance infrastructure planning and decision-making for global-scale businesses through AI and algorithm capabilities;

3. Enable highly automated and intelligent large-scale architecture governance;

4. Produce research outcomes in real-world frontier architecture scenarios suitable for publication at top-tier academic conferences/journals.

- Translate research outcomes into engineering solutions deployable in production, achieving a complete loop from theory to practice.

- Collaborate with architects, infrastructure, and business teams to drive global-scale deployment and adoption of optimization solutions.

- Continuously explore cutting-edge technologies and methodologies to shape the next 3–5 years of TikTok’s global business architecture evolution.

Qualifications

Minimum Qualifications

- PhD degree in Computer Science, Software Engineering, Systems Engineering, Operations Research, Applied Mathematics, or a related field.

- Solid research background in distributed systems, large-scale system optimization, or AI for Systems.

- Strong problem-solving skills with the ability to model planet-scale, complex business and infrastructure systems, abstract key variables and constraints, and clearly articulate solutions through rigorous logical reasoning and effective communication.

- Proficiency in optimization algorithms (e.g., integer programming, dynamic programming, graph optimization, reinforcement learning) and their application to large-scale optimization problems.

- Proficiency in at least one mainstream programming language (e.g., Go, Java, C++, Python), with the capability to implement algorithms and models into production systems.

- Ability to leverage AI tools and automation methods to efficiently accomplish tasks and enhance productivity, with strong motivation to explore cutting-edge technologies and solve complex industrial-scale problems.

Preferred Qualifications

- Experience in data modeling and analysis for large-scale systems or business architectures, with the ability to propose feasible optimization solutions based on business and system characteristics.

- Publication record in top-tier conferences/journals such as OSDI, SOSP, NSDI, SoCC, SIGCOMM, KDD, NeurIPS.

- Hands-on experience in optimization, scheduling, or resource management for ultra-large-scale production systems.

- Familiarity with deployment and operations of large-scale distributed systems, and understanding of the challenges in cross-data-center and cross-region architecture optimization.

- Experience in cross-domain collaboration (architecture, platform, business) to drive complex solutions into production.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $129960 - $246240 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. Exercising sound judgment.​

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

https://lifeattiktok.com/search/7545598011306346770

Site Reliability Engineer (Global) - TikTok Server Arch | Tiktok | Singapore

 Site Reliability Engineer (Global) - TikTok Server Arch | Tiktok | Singapore

Site Reliability Engineer (Global) - TikTok Server Arch

Location:

Singapore

Employment Type:

Regular

Job Code:

A197417

Responsibilities

This position is with TikTok's Stability Assurance Team. The team is responsible for ensuring that the services provided by TikTok are highly reliable with low-latency. Reliability assurance is complex and systematic for any massive application system and the team focuses on optimizing the application architecture from end to end; driven by data analysis, with automatic and intelligent failure recovery.

Job Responsibilities:

1.Ensure the online stability of TikTok and improve product SLA through systematic disaster recovery abilities, standardized emergency mechanisms, and intelligent analysis.

2.Identify system risks and promote governance through comprehensive and multi-perspective quality data.

3.Establish TikTok's unified standards and specifications, design and develop a one-stop operation platform, and enhance efficiency across multiple fields.

4.Collaborate closely with developers to implement best practices in SRE.

Qualifications

Minimum Qualifications:

1. Bachelor's degree or above in a computer-related field

2.Solid foundational knowledge of computer software; understanding of Linux operating systems, storage, network IO, and related principles.

3.Ability to solve problems systematically, strong communication skills, and a sense of ownership.

Preferred Qualification

1. Minimum 3-5 years relevant work experience from a large-scale internet business

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

https://lifeattiktok.com/search/7548400703959173383

Senior Algorithm Engineer, E-Commerce Governance and Experience - USDS | Tiktok | Seattle

 Senior Algorithm Engineer, E-Commerce Governance and Experience - USDS | Tiktok | Seattle

Senior Algorithm Engineer, E-Commerce Governance and Experience - USDS

Location:

Seattle

Employment Type:

Regular

Job Code:

A133325

Responsibilities

About the Team: CCR & VOC

The Consumer Complaint Rate (CCR) and Voice of Customer (VOC) team is at the heart of understanding and improving the user experience on TikTok's e-commerce platform.

- Consumer Complaint Rate (CCR): This metric measures negative consumer feedback by using Natural Language Processing (NLP) to interpret texts from various channels, including product reviews, service tickets, and video comments. It provides critical insights into governance and experience issues across products, customer service, logistics, and content.

- Voice of Customer (VOC): This initiative analyzes the original voice of consumers to proactively identify issues affecting user experience. By monitoring product reviews, video reports, and complaint tickets, VOC integrates alarm information, transfers details to the appropriate teams for resolution, and tracks subsequent trends.

Our vision is to build an intelligent, efficient, and AI-driven future for e-commerce feedback analysis. We are replacing traditional manual processes with an advanced AI-powered system that leverages Large Language Models (LLMs) and NLP. This system will provide instant, seamless support by understanding user feedback, identifying problems, and delivering actionable analysis to enhance the overall shopping experience without human intervention.

Join us to be at the forefront of this revolution. You will help build an AI system that not only understands and adapts to user feedback but also provides intelligent solutions, ultimately reducing costs and increasing efficiency for our platform.

Responsibilities:

- Develop LLM-based CCR/VOC Models: Design and implement LLM-based CCR/VOC models, to cover user feedback from multiple channels, including reviews, after-sales service, customer service conversations, and tNPS, etc. Based on a 100+ intent classification system, identifies the user's feedback intent accurately.

- Apply Advanced LLM Techniques: Utilize state-of-the-art LLM post-training techniques, such as instruction tuning, Reinforcement Learning from Human Feedback (RLHF), and continuous learning, to optimize the system with minimal labeled data.

- Build Robust Training Datasets: Identify challenging user feedback scenarios—including logistics inquiries, merchant issues, and platform-related problems—and construct specialized datasets to enhance AI model training.

- Enable Multilingual and Multicultural Support: Build AI models capable of recognizing user feedback across diverse languages and cultural backgrounds, ensuring accurate semantic understanding for a global audience.

- Optimize Model Efficiency and Deployment: Research and apply model compression, quantization, and efficient inference techniques to ensure the AI assistant operates at scale with low latency and high reliability.

- CCR/VOC RCA Agents： Focusing on pain points in CCR, such as the need for rapid implementation of new labels and inefficient CCR problem handling processes in business side, this project leverages the agent's autonomous interaction and intelligent decision-making capabilities to optimize existing models and processes. Through scenario-based training and iteration, the agent becomes a highly efficient assistant for CCR operations, solving the problems of slow response and low conversion rates in traditional models, and improving service quality and customer experience.

Qualifications

Minimum Qualifications:

- Bachelor's degree in Computer Science or a related technical field.

- 2+ years of professional experience in one or more of the following fields: Machine Learning, Natural Language Processing (NLP), or Computer Vision.

- Proficiency in software development with at least one of the following programming languages: C++, Python, Go, or Java.

Preferred Qualifications:

- LLM Development & Post-Training: Experience in fine-tuning, distillation, or reinforcement learning for large language models in conversational AI applications.

- Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling.

- CV/Multimodal Large Model Development: Experience in developing and optimizing e-commerce video and product multimodal large models, combining LLMs with video/product representations to support tasks like multimodal classification, video QA, and cross-modal retrieval.

- E-commerce Business Acumen: A strong understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to inform AI service design.

- Advanced NLP & Deep Learning: Expertise in AI agents, Retrieval-Augmented Generation (RAG), Mixture of Experts (MoE), sparse attention, reinforcement learning, and inference-time scaling.

- Scalability & Efficiency: Experience with distributed model training, low-latency inference, and deploying models efficiently.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $177688 - $341734 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. Exercising sound judgment.​

About USDS

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.​

​

On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

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Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

USDS Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA

https://lifeattiktok.com/search/7579755056091908405

Senior Machine Learning Engineer I | Etsy | Brooklyn, New York, United States

 Senior Machine Learning Engineer I | Etsy | Brooklyn, New York, United States

         

Senior Machine Learning Engineer I

 Hybrid 

 Brooklyn 

 Full-time 

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

$183,000.00 - $216,000.00

What’s the role?

We are looking for an experienced Machine Learning Engineer to join our Recommendation Ranking team. Our team develops Machine Learning models to understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app. As a Machine Learning Engineer, you will work closely with Applied Scientist and Software Engineer to improve the shopping experience for 90+ million buyers. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as ranking, distributed training and serving, LLM and real-time systems.

This is a full-time position reporting to the Engineering Manager. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. 

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our  work modes and workplace safety policies here.

What does the day-to-day look like?

Work closely with applied scientists, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system

Engage in development work on projects, guide your team in technical decisions, deeply understand the problem space, and mentor engineers.

Collaborate with stakeholders and partner teams to design robust end-to-end solutions

Process large datasets and develop scalable pipelines to support ML workflows

Prototype, optimize, and productionize large-scale ML models that help deliver key results 

Conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines

Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

You have experience of applying machine learning techniques in addressing real-world problems.

You have experience in one of the following fields: deep learning, multi-modal learning, natural language processing, graph learning, distributed training/serving, ML infra platform. 

You have experience with large datasets and developing scalable data pipelines.

You have deep familiarity with at least some of our tools: Python, Tensorflow, PyTorch, Spark, PySpark, Scala, Airflow.

You have a collaborative mindset and are comfortable working with a diverse range of roles and departments.

You write understandable and testable code. You have the ability to write and manipulate data at a large scale and you have an eye towards maintainability. 

A degree in Computer Science or related engineering fields with at least two years of industry experience.

Additional Information

 

What's Next

If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

 

Our Promise

At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

https://careers.etsy.com/jobs/senior-machine-learning-engineer-i-brooklyn-new-york-united-states