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Sunday, 11 January 2026

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

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

Why Join Us

Diversity & Inclusion

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

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.

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:

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

Diversity & Inclusion

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

Friday, 9 January 2026

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

Senior Data Scientist, Analytics | Etsy | Mexico City, Mexico

Senior Data Scientist, Analytics

Hybrid

CDMX

Full-time

Company Description

What’s the role?

We are looking for a Senior Data Scientist to join our Product Analytics in Mexico City, Mexico! This person will partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency. You will play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.

This is a full-time position reporting to the Manager, Product Analytics. 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.

This role requires your presence in Etsy’s Mexico City Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Mexico City Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.

What’s this team like at Etsy?

Data scientists at Etsy use rigorous methods to generate insights that inform product, marketing, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.

Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community.

What does the day-to-day look like?

Partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency.

Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.

Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results.

Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation.

Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.

Qualities that will help you thrive in this role are:

4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.

Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with Spark and Looker, Tableau, or other data visualization software.

Deep understanding of experimentation theory and practice.

Specialize in sophisticated analyses and regularly use statistical methods in your work.

Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.

Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions.

Passionate about reproducible work and have picked up tools to this end.

Acted as a mentor, guiding others to make their own work better and more efficient.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/senior-data-scientist-analytics-cdmx-mexico-city-mexico

Staff Software Engineer II, Web Frontend Architect | Etsy | Brooklyn, New York, United States

Staff Software Engineer II, Web Frontend Architect

Hybrid

Brooklyn

Full-time

Company Description

Salary Range:

$226,000.00 - $264,000.00

What’s the role?

We are seeking a skilled Web Frontend Architect to lead the evolution of our web frontend ecosystem. Your work will directly impact Etsy’s buyer and seller experiences (desktop and mobile web). The ideal candidate is a technical expert with a deep understanding of frontend technologies and architectural patterns for ecommerce systems.

This is a full-time position reporting to the Director of Engineering, UX Foundations. 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.

What’s this team like at Etsy?

You will work closely with cross-functional teams with domain experts in fields such as design systems, accessibility, client-side frameworks, build systems and APIs along with product development teams. Together, we will create ‘paved paths’ that enable the delivery of high-quality, maintainable, performant and innovative web applications.

What does the day-to-day look like?

Define and drive the frontend architecture and technical roadmap.

Provide technical leadership to frontend developers through code reviews, architecture discussions, and mentoring.

Collaborate with product managers, UX/UI designers, and backend engineers.

Design scalable, maintainable, high-performance frontend application architectures using modern frameworks with a particular emphasis on React (with knowledge of alternatives, e.g. Vue.js, Angular).

Ensure contextually appropriate practices in accessibility, performance, security, and responsive design.

Evaluate and recommend new technologies, tools, and frameworks to keep the frontend stack modern and efficient.

Establish and enforce coding standards, design patterns, and performance benchmarks.

Oversee the integration of frontend and backend (API) architectures.

Document architectural decisions, technical guidelines, and frontend infrastructure components.

Qualities that will help you thrive in this role are:

Bachelor’s or Master’s degree in Computer Science, Engineering, a related field, or comparable experience.

8+ years of experience in software engineering with a strong focus on frontend development.

3+ years in a lead or architectural role designing complex frontend systems.

Expert proficiency in HTML5, CSS3, JavaScript/TypeScript and related technologies.

Deep knowledge of modern frontend frameworks and libraries (e.g., React, Redux, Vue, Angular).

Experience with Webpack, Vite, Babel, ESLint, and other frontend build tools.

Strong understanding of RESTful APIs, GraphQL or other architectures, and asynchronous request handling.

Proven experience in frontend performance optimization, cross-browser compatibility, and responsive design.

Familiarity with design systems, component libraries, and relevant tooling (e.g., Storybook).

Familiarity with frontend testing frameworks such as Jest, Mocha, Cypress, or Playwright.

Solid understanding of CI/CD pipelines and frontend deployment strategies.

Excellent problem-solving and communication skills.

Desirable Qualifications

Experience with e-commerce applications.

Exposure to server-side rendering (SSR) and static site generation (e.g., Next.js, Nuxt).

Contributions to open-source projects or tech blogs.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/staff-software-engineer-ii-web-frontend-architect-brooklyn-new-york-united-states

Senior Data Scientist, Seller Analytics | Etsy | Mexico City, Mexico

Senior Data Scientist, Seller Analytics

Hybrid

CDMX

Full-time

Company Description

What's the role?

As a Senior Data Scientist in Seller Analytics you will be building out and discovering insights for the heart of Etsy - our sellers. This scientist will be essential in helping us create best-in-class seller tools, monitoring and improving performance and adoption of these tools, and working to ensure new sellers onboarding to Etsy have a smooth process. As a senior data scientist, you will be a key partner in shaping the future of the Etsy seller service roadmap. This position acts as a leader and collaborator with product, design, engineering, and research to drive insights. We are looking for someone who understands how to weigh opportunities, create unique insights, and is passionate about thinking and communicating around the seller experience. Would you enjoy supporting a rapidly growing vector at Etsy and have an impact at the highest level? If so, this could be the perfect match.

This is a full-time position reporting to the Senior Manager of Analytics. 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.

What’s this team like at Etsy?

The Seller Analytics team is committed to applying data science and analytics techniques to drive meaningful insights. This includes leading improvements to the seller experience through data-driven understanding. We focus on uncovering the nuances of Etsy’s sellers and how they connect to Etsy’s unique strengths. The team builds rich, reliable data sources that integrate sophisticated seller data with foundational information from across the Etsy ecosystem. We also identify and advocate for high impact opportunities that drive Etsy’s growth and move critical metrics.

What does the day-to-day look like?

Develop insights from trends and research in our seller data.

Work with our seller product teams to ensure launches are impactful and the seller experience is being improved.

Build foundational scripts using SQL and database skills.

Craft outstanding dashboards and visualizations using Looker.

Participate in dialogues with external vendors and collaborators, including technical developers.

Connect with partners on timelines, priorities, and expectations for proposals.

Continually evaluate and refine your technical toolkit; share what you learn with the team.

Possess a deep level of curiosity and appetite for learning, which drives you to finding outstanding solutions.

Qualities that will help you thrive in this role are:

4+ years experience supporting seller side e-commerce, or product/engineering teams as an analyst or in a quantitative role in which you extracted meaning from sophisticated data sets.

Have an understanding of two-sided marketplaces and e-commerce processes.

A proficiency in SQL and some experience with Python or R.

Fluent in English with the ability to communicate your insights verbally, visually and in writing.

A deep care about the quality of your data and the integrity of your work.

A passion for reproducible work and tools to this end; you can mentor others how to make their own work better and more efficient.

A curious nature about subjects such as quantitative analysis, data visualization, and process efficiency. Validated project management skills and capability in carrying projects through to completion. A trust in and dedication to Etsy’s vision, mission and values.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/senior-data-scientist-seller-analytics-cdmx-mexico-city-mexico

Engineering Manager, Machine Learning | Etsy | Brooklyn, New York, United States

Engineering Manager, Machine Learning

Hybrid

Brooklyn

Full-time

Company Description

Salary Range:

$226,000.00 - $294,000.00

What’s the role?

We are looking for an Engineering Manager, Search Ranking to join our Search Relevance initiative at Etsy. You’ll lead a talented team of engineers and applied scientists responsible for the ranking algorithms and systems that determine how hundreds of millions of unique listings are ordered for Etsy buyers.

This team plays a pivotal role in defining and delivering Etsy’s search experience — helping buyers find items they’ll love by combining relevance, personalization, and marketplace value in every search result. The work directly contributes to Etsy’s growth by driving better buyer engagement, higher conversion, and a healthier marketplace. As the Engineering Manager, you will provide technical direction, strategic focus, and people leadership — guiding your team through iterative experimentation, learning from data and outcomes, and delivering high-impact improvements to Etsy’s search ecosystem.

This is a full-time position reporting to the Director of Engineering. 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.

What’s this team like at Etsy?

The Search Ranking team is a core part of the Search Relevance organization. We build large-scale ranking systems that optimize how Etsy surfaces results — ensuring every search connects buyers with the most relevant, inspiring, and meaningful listings.

Our work spans the full lifecycle of modern ranking systems: from model architecture and data pipelines, to feature engineering, experimentation, and production deployment. We use data-driven iteration and continuous learning to make every search more human, intuitive, and rewarding.

You’ll collaborate closely with product managers, data scientists, and other engineering teams to translate insights into measurable impact. The team’s focus on strategic delivery, technical excellence, and iterative experimentation is key to scaling Etsy’s marketplace while staying true to our mission.

What does the day-to-day look like?

Lead and grow a team of engineers and applied scientists building and maintaining ranking algorithms that power Etsy’s search results.

Define and execute the technical strategy for ranking systems, ensuring we balance innovation, scalability, and reliability.

Partner cross-functionally to set clear goals and success metrics, ensuring that the team’s work directly contributes to Etsy’s business and marketplace growth.

Foster a culture of experimentation and learning, using data, A/B testing, and iteration to drive continuous improvement in search relevance and engagement.

Collaborate with teams across Search teams, ML Platform, and Infrastructure to ensure reliable, scalable systems and shared learning across Search.

Ensure the team delivers strategically impactful projects that balance user experience, ranking performance, and business outcomes.

Promote engineering and ML best practices, from model quality evaluation to operational excellence in production environments.

Qualities that will help you thrive in this role are:

Proven experience leading teams in search ranking, or large-scale recommendation or ads systems.

Strong technical foundation in ranking algorithms, personalization, and information retrieval.

Expertise in ML experimentation, model iteration, and data-driven product development.

Experience driving strategic delivery and measurable impact — connecting technical investments to business outcomes.

Familiarity with deep learning architectures, vector search, and large-scale distributed systems.

Excellent communication skills with the ability to bridge technical and product perspectives.

A track record of developing and coaching high-performing teams, cultivating an inclusive and collaborative environment.

BS/MS or PhD in Computer Science, Engineering, or a related field.

A learning mindset — curiosity, resilience, and passion for continuous improvement.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/engineering-manager-machine-learning-brooklyn-new-york-united-states

Staff Software Engineer I, Experimentation Orchestration | Etsy | Brooklyn, New York, United States

Staff Software Engineer I, Experimentation Orchestration

Hybrid

Brooklyn

Full-time

Company Description

Salary Range:

$204,000.00 - $240,000.00

What’s the role?

Etsy is looking for a passionate Staff Software Engineer to help us enable data-driven learning and decision-making for our Experimentation initiative. Our initiative empowers teams across Etsy to run fast, trustworthy, and scalable experiments — by laying the foundation for how we test ideas, measure impact, and continuously improve our customer experience.

This is a high-impact opportunity to influence the technical direction of experimentation at Etsy, which affects feature development across the company. We’re looking for someone who thrives in collaborative environments, challenges the status quo, and is a creative problem solver. Additionally, we are looking for someone who embodies Etsy’s blameless engineering culture, as we value clear communication, honest feedback, and empathy as the foundation for how we work together and get things done.

This is a full-time position reporting to the Engineering Manager, Experimentation. 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.

What’s this team like at Etsy

You would join the Experimentation Orchestration team, which focuses on making experiment setup simple, intuitive, and reliable.

We build the core services, APIs, and tools that help teams configure and launch experiments with confidence. Whether it’s feature flagging, observability, traffic allocation, or ensuring a consistent user experience, our work sits at the heart of a seamless experimentation workflow.

Our mission is to make testing new ideas effortless — so teams can move faster, learn more, and build better products for our buyers and sellers.

What does the day-to-day look like?

Partner with engineers, analysts, and product managers — both within and beyond the Experimentation initiative — to improve Etsy’s experimentation platform. Your work will focus on experiment configuration, orchestration, and event logging.

Take initiative to lead, design, and implement solutions that keep our platform at the forefront of industry standards — and ultimately a reference point for experimentation excellence.

Mentor and uplevel others within the team and across Etsy to help them grow as software engineers.

Advocate for experimentation best practices across engineering teams and contribute to a strong culture of learning and continuous improvement.

Play a key role in driving technical and product direction through thoughtful decision-making and collaboration.

Qualities that will help you thrive in this role are

You have hands-on experience with A/B testing frameworks and experimentation workflows.

You’re excited about full-stack development, particularly in the context of building experimentation platforms.

You have experience providing technical leadership and mentoring others to grow in their craft.

You’ve built reliable, scalable systems and know how to balance long-term vision with practical delivery.

You write clean, testable code — and help others do the same — in one or more of the following languages: PHP, Python, or Java.

You’re proficient with MySQL (or similar relational databases) and experienced in designing data models that support robust, scalable systems.

You have experience with cloud platforms such as Google Cloud Platform, AWS, or Azure.

You’re familiar with CI/CD tools and practices that support high-quality, rapid software delivery.

You’re familiar with containerization and orchestration tools like Docker and Kubernetes.

You’re familiar with monitoring and alerting systems, such as Prometheus and Grafana.

You’re comfortable using Git and understand different branching strategies.

You’re comfortable working in Linux-based environments and know your way around the command line.

Helpful, but Not Required

Familiarity with front-end technologies, such as React.

Experience with data warehousing (e.g. BigQuery) and ETL processes, using big data frameworks such as Kafka and Spark and orchestration tools such as Airflow.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/staff-software-engineer-i-experimentation-orchestration-brooklyn-new-york-united-states

Software Engineer II, SRE | Etsy | Brooklyn, New York, United States

Software Engineer II, SRE

Hybrid

Brooklyn

Full-time

Company Description

Salary Range:

$135,000.00 - $175,000.00

What’s the role?

Etsy’s Services Infrastructure group is looking for a Site Reliability Engineer II to join us in our mission of building and supporting reliable large scale Kubernetes infrastructure. The SRE team owns several aspects of business critical services(search retrieval and ranking) & Machine Learning Models infrastructure(Kubernetes hosted on Google Cloud) that enable engineers to efficiently build and release, as well as support the uptime of critical systems behind etsy.com. You will be playing an instrumental role in crafting the future architecture of how we run our systems in the cloud while being part of a dynamic international team.

You’ll get exposure to a variety of technologies ranging from Kubernetes, Golang, LLMs, Model Serving, Search Retrieval & Ranking and more as you build systems to support the services that support our 86M active buyers and 5.5M sellers! As the Software Engineer II, SRE you will drive the adoption of containers and Kubernetes, improve reliability, automating the operations and providing a self-service runtime platform to accelerate Etsy’s product & ML engineering, and contribute to the design and implementation of Observability & CI/CD on top of Kubernetes.

Do you find joy in improving developer velocity and have the itch to work on complex large-scale distributed systems? If so, this could be the perfect match.

This is a full-time position reporting to the Senior 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.

What’s this team like at Etsy?

This team improves the Developer experience around build, deploy, release and observing services and ML Models transparently on Google Kubernetes Engine. They work on 20+ Kubernetes clusters with hundreds of nodes running services with low latency requirements. This team also standardizes cluster and application security with common admission policies and container vulnerability, as well as establishing standard SLI/O for all services running on Kubernetes.

This team works closely with many product and enablement teams across Etsy. This team handles

20+ Kubernetes clusters with hundreds of nodes running services with low latency requirements.

Build and support the CI/CD platform (Buildkite) used by more than a few hundred engineers to deploy their workloads to GKE.

Maintain and upgrade GKE addons(CertManager, Gatekeeper), ingress controllers (Contour, Envoy), and various telemetry components (kube-prometheus, AlertManager, Karma) and Container Security.

Here’s a sneak peek into our Roadmap for the next year

Support multiple Search, ML & Gen AI teams to efficiently utilise GPUs across different zones and regions. Evaluate Build vs Buy decisions within LLM space.

Enable service mesh across GKE and enable a native way of accessing services across the stack.

Standardizing cluster and application security and container vulnerability scanning (both during build and run time)

What does the day-to-day look like?

Administer GKE clusters and automate operations like provisioning and service observability. Support the partner teams running their workloads on the Kubernetes Platform. .

Provide guidance and collaborate with multi-functional engineering teams to streamline and improve the adoption of Kubernetes

Build paved paths for wider product engineering with codelabs, documentation, automation and self-service portals to develop, deploy and operate services on GKE.

Participate in an on-call rotation and seek opportunities for reducing toil and avoiding technical debt to reduce support and operations load on the team.

Qualities that will help you thrive in this role are:

You have strong software engineering and coding skills and ability to write high performance production quality code. You have 2+ years of experience in systems/infrastructure engineering or SRE or DevOps roles, preferably in a cloud environment.

Exposure to container orchestration systems like Kubernetes (traffic ingresses, cluster networking/administration, pod security policies).

Experience iterating on multiple projects on a collaborative team, each of which may have taken months or longer to complete.

Proficiency in one programming language like PHP, Python, or Go.

Hands-on experience with Infrastructure As Code tooling like Terraform and configuration management tooling like Chef/Ansible.

Hands on debugging experience with Linux based operating systems.

Working knowledge of ML Operations(MLOps) is nice to have.

Willing to work with and improve on code you did not originally write.

You understand that being an effective software engineer is as much about communicating with people as it is about writing code.

Additional Information

What's Next

Our Promise

https://careers.etsy.com/jobs/software-engineer-ii-sre-brooklyn-new-york-united-states

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