The Role

As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.

Responsibilities

• Work side-by-side with intelligence partners to deeply understand their missions, data workflows, and requirements for predictive insights.
• Design, develop, and deploy tailored software solutions and applications utilizing the Rhombus Power AI platform.
• Be a true software generalist, writing, testing, and maintaining production-grade code across the full stack—including cloud/DevOps configuration, backend data services, and interactive frontend user interfaces.
• Provide technical consultation to partners, guiding them on the best use of our products to achieve their strategic business and mission goals.
• Serve as the technical liaison, ensuring seamless communication between customer teams and Rhombus Power's core product engineering teams to influence product direction.
• Troubleshoot complex issues in live operational environments, providing expert technical support and guidance to maintain mission continuity.
• Travel to customer sites for deployment, integration, and operational support.

Qualifications

• 2–3 years of professional experience in a relevant technical role (e.g., Software Engineering, Technical Consulting, or Data Engineering).
• Demonstrated experience as a software generalist, capable of contributing across the technology stack (DevOps, frontend, and backend).
• Proven experience in a customer-facing capacity, including requirement gathering, solution presentations, or technical support.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript, Go).
• Experience with Linux/Unix systems and system administration a plus
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Realize your potential by joining the leading performance-driven advertising company!

As a Senior Backend Engineer on the Backend team in our Taipei Office, you’ll play a vital role in building the foundational systems that power content understanding for the entire organization. You will create the robust backbone that enables every team to leverage Generative AI. You will operate with the agility of a startup to deliver powerful, scalable solutions and directly shape how the company innovates with AI.

To thrive in this role, you'll need:

• 7+ years of hands-on coding experience in Java or similar object oriented programming languages.
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, applications programming and multi threading programming.
• Experience with SQL and No-SQL, ex: MySQL, Vertica, Cassandra, Google BigQuery.
• Experience with common frameworks: Spring, Maven, Kafka, Apache Spark.
• Proven experience in building and managing data pipelines and distributed systems.
• Thorough understanding of backend integration concepts and technologies such as API, web services, message queuing, and security practices.
• Quick and self-motivated learner with strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills and the ability to work collaboratively in both team and cross-timezone environments.

Bonus points if you have:

• Well understanding of common design patterns and engineering best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes and Helm.
• Experience with workflow automation tools like Apache Airflow.
• Knowledge of CI/CD tools such as Jenkins.
• Familiarity with modern development practices such as Agile methodologies and DevOps principles.

How you'll make an impact:

As a Senior Backend Engineer, you will:

• Technical Leadership: Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems.
• Hands-On Excellence: Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
• Strategic Scalability: Driving the technical strategy for building highly scalable and reliable solutions to process massive datasets and ensure system stability.
• Democratizing AI: You will architect the centralized access layer that allows every service in the organization to integrate with Large Language Models safely and efficiently.
• Powering the Content Engine: You will own the high-throughput content data infrastructure that ingests, processes, and serves the fundamental data powering our recommendations.
• Automating Quality: You will co-own the pipelines responsible for automated Ad Quality, ensuring millions of recommendations meet strict safety standards without human intervention.
• End-to-End Ownership: You will take full responsibility for the lifecycle of your services—from initial architectural design and hands-on coding to deployment, monitoring, troubleshooting, handling incidents and ensuring production reliability.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Taiwan!

As a Marketing Manager on the Geo Marketing Team in our Taipei Office, you’ll play a vital role in scaling Taboola’s market presence across Taiwan and Hong Kong. You will act as the strategic architect for regional growth, bridging the gap between sales objectives and creative execution to drive measurable business impact. By owning our event, PR, and content engines, you will directly influence how the world’s leading brands and publishers perceive and engage with our technology.

To thrive in this role, you’ll need:

• Native or fluent proficiency in Mandarin and English.
• 5+ years of B2B marketing experience, featuring a strong foundation of 2–3 years in field marketing roles. Experience must include owning and executing end-to-end marketing strategies.
• Thorough understanding of various offline and online marketing channels, including event marketing, content marketing, PR, influencer Marketing.
• Equipped with strong Traditional Chinese writing proficiency, and a willingness to leverage AI tools intelligently to excel in content production.
• Understanding of digital advertising and e-commerce terminology within the Chinese market.
•  Exceptional project and time management skills, with a proven ability to independently execute complex marketing events while collaborating closely with Country Managers and Regional Sales Directors to ensure strategic alignment.
• A team player who is comfortable working with a high degree of autonomy in an ever-changing, international environment.
• Experienced in developing data-driven content by gathering and analyzing insights for content marketing, blog articles, white papers, and sales collateral. Proficient in researching emerging topics and trends to support presentations.
• Willing to travel between Hong Kong & Taiwan is required.(e.g. Once a quarter)

Bonus points if you have

• Fluency in Cantonese, providing a deeper competitive edge for our Hong Kong operations.
• Advanced proficiency in AI-driven content tools to accelerate production and optimize localized marketing materials.

How you’ll make an impact

• Develop and execute the marketing strategy for Taboola Taiwan and Hong Kong by collaborating with Sales Leadership to drive business growth and maximize both immediate and long-term ROI.
• Own hosted events (e.g. tentpole events, roundtables, seminars) and sponsored industry events (e.g. IAB Hong Kong event, DMA event), from coordinating operations with different internal and external stakeholders, and managing our presence to creating impactful content to drive leads and build awareness.
• Plan and execute customer retention activities including client entertainment events and gifting.
• Generate data-driven insights using a variety of tools and platforms to develop public speaking narratives, white papers, and sales collateral.
• Build and maintain strong relationships with tier-1 media overseeing PR article production and driving increased media exposure in collaboration with the global PR team and local PR agency. 
• Strategically manage social media channels, including LinkedIn, Facebook, Instagram. Create and distribute engaging content across social media and blogs, working closely  with content and design vendors, and ensuring performance metrics are tracked and analyzed.
• Curate captivating video content to attract potential clients and increase Taboola's brand awareness within the Greater China region. 
• Localize and adapt marketing materials into Traditional Chinese, including product updates, sales presentations, vertical-specific content, case studies and market insights.

Why Taboola?

If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

About the role:

The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multidisciplinary group founded in 2019 to solve complex security challenges across the Proton ecosystem. We build sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of real-time or asynchronous decisions daily. Our focus areas include:

1. Mail delivery and spam prevention

2. Abuse detection

3. Account security

4. Site reliability and resilience

Over the past few years, our custom systems have:

• Reduced spam filter misclassifications by over 70%

• Blocked millions of abusive bulk signups

• Protected hundreds of thousands of users from account compromises

• Mitigated hundreds of DDoS attacks

Recently, we’ve expanded our impact with Proton Sentinel (an AI-human hybrid security program) and Proton CAPTCHA (our own puzzle system to detect and prevent abuse). We’re now scaling our capabilities with agentic AI to enable autonomous threat detection and response.

In 5 years, we’ve grown from 2 engineers to 40+ engineers and analysts across 3 continents, operating 24/7. We’re looking for curious, collaborative, and impact-driven engineers who thrive in a startup environment and want to shape the future of secure AI.

What You Will Do

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines.

• Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses.

• Build tools for model development, debugging, and explainability to accelerate iteration and transparency.

• Optimize ML workflows for distributed environments to handle large-scale data processing.

• Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs.

• Advance the state of ML for anti abuse and account security, exploring cutting-edge techniques like adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.

What You Bring

• Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems.

• Production-level ML expertise: You’ve shipped models that handle real-world scale and complexity.

• Hands-on experience with LLMs in agentic environments.

• Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals.

• Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design.

• Experience with adversarial ML or red-teaming ML systems.

• Experience working on distributed systems.

• Contributions to open-source security/privacy tools.

• Knowledge of federated learning, differential privacy, or on-device inference.

• Familiarity with graph-based anomaly detection or knowledge graphs.

• Technical leadership: Experience owning projects, mentoring peers, and driving technical direction.

• Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!).

Why Join Us?

• Impact at scale: Your work will protect millions of users globally.

• Cutting-edge tech: Tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML.

• Collaborative culture: Work with a global team of experts in security, ML, and systems engineering.

• Growth opportunities: Lead initiatives, mentor other, and learn across a diverse technology stack

• Mission-driven: Contribute to a privacy-first internet where users control their data.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Staff Product Designer, you are the lead designer for our high-scale growth and automation platforms in Taiwan. This is a senior Individual Contributor role for a designer who thrives at the intersection of complex data systems and human-centric interfaces.

You are expected to define the problem space clearly and drive the design strategy from concept to execution. While you will collaborate with Product and Engineering, you are expected to be fully autonomous—capable of conducting your own research, building your own prototypes, and utilizing data to validate your design decisions.

What You Will Do:

1. Problem Definition & Strategic Design Thinking

• The Role: Identify and define the core user problems within our growth and automation tools. You must look past surface-level requests to understand the root cause of user friction or system inefficiency.
• The Expectation: You provide the logic and user-centered reasoning for the design roadmap. You are expected to challenge existing workflows and propose simplified, scalable solutions for complex, data-heavy environments.

2. Interaction & System Design

• The Role: Architect the end-to-end user journey for both internal automation tools and external customer-facing experiences.
• The Expectation: You design for scale. You must create robust design systems and logical flows that handle millions of data points and complex variables without overwhelming the user. You work closely with engineers to ensure your designs are technically feasible.

3. Data-Driven Design & Autonomous Analytics

• The Role: Use quantitative and qualitative data to inform and validate your design hypotheses.
• The Expectation: You do not rely solely on others for insights. You are expected to be comfortable looking at performance dashboards and conversion data (and ideally navigating basic data tools) to understand how your designs impact business metrics.

4. Technical & Operational Insight

• The Role: Maintain a deep understanding of the growth channel's operational workflows to identify where design can reduce manual effort.
• The Expectation: While you are not a campaign manager, you must be a "power user" of the growth platforms. You should know exactly how campaigns are managed to identify "pain points" where better design or automation can replace tedious manual work.

5. Hands-on Prototyping & Execution

• The Role: Deliver high-fidelity designs and interactive prototypes that clearly communicate the vision to stakeholders and engineers.
• The Expectation: You are a master of your craft (Figma, etc.). If a project is moving fast, you are expected to handle the entire design lifecycle independently—from initial wireframes and user testing to final hand-off and visual QA.

Basic Qualifications

• Experience: 8+ years in Product Design, with a focus on high-scale E-commerce, B2C, or SaaS platforms.
• Language: Professional English and Chinese speaker. You must be able to communicate design rationale fluently in English for global alignment and in Chinese for local team collaboration.
• Operational Insight: Experience designing for complex technical systems where data density and automation are high.
• Technical Skills: Expert proficiency in Figma and prototyping tools.
• Independence: A track record of leading design for entire product areas as a senior individual contributor in an ambiguous, fast-paced environment.

Preferred Qualifications

• Familiarity with technical constraints (APIs, front-end frameworks) is a strong plus.
• Prototyping via AI tools
• Analytical Mindset: Expert-level critical thinking. You design based on logic and data, not just aesthetics.

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Senior Product Designer, you are the lead designer for our high-scale growth and automation platforms in Taiwan. This is a senior Individual Contributor role for a designer who thrives at the intersection of complex data systems and human-centric interfaces.

You are expected to define the problem space clearly and drive the design strategy from concept to execution. While you will collaborate with Product and Engineering, you are expected to be fully autonomous—capable of conducting your own research, building your own prototypes, and utilizing data to validate your design decisions.

What You Will Do:

1. Problem Definition & Strategic Design Thinking

• The Role: Identify and define the core user problems within our growth and automation tools. You must look past surface-level requests to understand the root cause of user friction or system inefficiency.
• The Expectation: You provide the logic and user-centered reasoning for the design roadmap. You are expected to challenge existing workflows and propose simplified, scalable solutions for complex, data-heavy environments.

2. Interaction & System Design

• The Role: Architect the end-to-end user journey for both internal automation tools and external customer-facing experiences.
• The Expectation: You design for scale. You must create robust design systems and logical flows that handle millions of data points and complex variables without overwhelming the user. You work closely with engineers to ensure your designs are technically feasible.

3. Data-Driven Design & Autonomous Analytics

• The Role: Use quantitative and qualitative data to inform and validate your design hypotheses.
• The Expectation: You do not rely solely on others for insights. You are expected to be comfortable looking at performance dashboards and conversion data (and ideally navigating basic data tools) to understand how your designs impact business metrics.

4. Technical & Operational Insight

• The Role: Maintain a deep understanding of the growth channel's operational workflows to identify where design can reduce manual effort.
• The Expectation: While you are not a campaign manager, you must be a "power user" of the growth platforms. You should know exactly how campaigns are managed to identify "pain points" where better design or automation can replace tedious manual work.

5. Hands-on Prototyping & Execution

• The Role: Deliver high-fidelity designs and interactive prototypes that clearly communicate the vision to stakeholders and engineers.
• The Expectation: You are a master of your craft (Figma, etc.). If a project is moving fast, you are expected to handle the entire design lifecycle independently—from initial wireframes and user testing to final hand-off and visual QA.

Basic Qualifications

• Experience: 8+ years in Product Design, with a focus on high-scale E-commerce, B2C, or SaaS platforms.
• Language: Professional English and Chinese speaker. You must be able to communicate design rationale fluently in English for global alignment and in Chinese for local team collaboration.
• Operational Insight: Experience designing for complex technical systems where data density and automation are high.
• Technical Skills: Expert proficiency in Figma and prototyping tools.
• Independence: A track record of leading design for entire product areas as a senior individual contributor in an ambiguous, fast-paced environment.

Preferred Qualifications

• Familiarity with technical constraints (APIs, front-end frameworks) is a strong plus.
• Prototyping via AI tools
• Analytical Mindset: Expert-level critical thinking. You design based on logic and data, not just aesthetics.

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

【 About the Role 】
We are building a next-generation, AI-ready web platform to power personalization, experimentation, and scalable commerce experiences.
We’re looking for a Senior Frontend Engineer who is not only strong in modern frontend architecture, but also passionate about leveraging AI to elevate development quality and velocity.

This role is expected to take technical ownership and help shape the evolution of our frontend engineering practices.

【 What you’ll do 】

• Architect and build scalable, high-performance frontend systems.
• Leverage AI tools to enhance development velocity and code quality.
• Lead technical decisions across experimentation, personalization, and CMS integration.
• Drive innovation in frontend architecture and engineering practices.
• Own complex projects end-to-end with strong cross-functional collaboration.

【 Who you are 】

Core Qualifications

• 4+ years of frontend development experience (React / Next.js required).
• Strong understanding of scalable frontend architecture and performance optimization.
• Hands-on experience with automated testing and CI/CD pipelines.
• Experience implementing A/B testing or experimentation frameworks.

Nice to Have

• Experience integrating AI tools into development workflows.
• Experience with headless CMS (e.g., Builder.io, etc.).
• Experience with tracking / analytics tools integration.
• Experience in Ecommerce development.
• Experience acting as a technical lead or decision-maker in complex projects.

Mindset

• Proactively explores and validates new technologies.
• Balances speed, scalability, and engineering cost.
• Comfortable taking ownership and driving technical direction.
• Strong communication and cross-team collaboration skills.

【Benefits】

• Flexible Time-off ; work hard and take time off when you need it
• Flexible working hours and work-from-home when needed
• Medical insurance and free yearly health checkup
• Yearly health checkup subsidy for your pets
• 2 free Furbos for each full-time team member
• Company trip and employee outing program
• Internal workshop and external training subsidy for you to expand your skill set and continuously learn and grow.
  
  
  

【 Perks 】

• The rare opportunity to work with an international team from Taiwan HQ and make impact on a global scale
• Join a group of talents who have passion to change pet parents and pet's lives through technology
• The freedom to voice yourself in an open, trusting and transparent working environment
• Quarterly all hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback
• Bring your fur babies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable
• Join our volunteer program. We are passionate about giving back to society.
• Various club activities to cultivate interests and have fun with Tomofuners after work!
• A LOT of free snacks and drinks for humans and furkids!
• Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!
• Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together.

About the role

In this role you will help to lead a team to develop the Netskope AI Gateway, our industry-leading platform that empowers global enterprises to securely unlock the transformative power of Generative AI. You will conduct technical research, collaborate with other internal engineering and product management teams to design, develop and integrate innovative security capabilities into our platform. Join us to drive the next frontier in AI/LLM security ensuring robust defense against emerging threats.

What you will be doing

• Design, architect and develop high performance, scalable cloud based security systems to detect and mitigate attacks on generative AI applications and LLMs
• Define and drive best practices around scalable microservices, distributed systems, APIs and secure data flows
• Lead and inspire a world-class engineering organization, fostering a culture of innovation, collaboration and continuous improvements
• Partner with product management to understand customer requirements, lead the team and collaborate with other engineering teams to design and implement high-quality solutions
• Perform architectural reviews, code reviews and mentor junior engineers
• Stay abreast of emerging GenAI and cybersecurity technologies and proactively propose innovative solutions

Required skills and experience

• 10 to 12+ years of experience in software engineering, with 5+ years in architectural or technical leadership role
• Deep expertise in backend engineering using Golang, Python, C++ or Java
• Proven experience designing large-scale, secure and cloud-native systems
• Hands-on experience with Docker and Kubernetes, specifically debugging workloads, networking, and storage in on-prem or hybrid environments
• Excellent communication skills, be able to collaborate, influence and lead
• Willingness to work with a globally distributed team in different time zones
• Startup experience in a fast paced environment is a plus

Education

• BS in Computer Science or equivalent required; MS strongly preferred.

#LI-AW1

The role of a Silicon Alliances Ecosystem Development Manager at Canonical

Ubuntu is the fastest growing enterprise Linux, the leading platform for public cloud computing, and the engineer's favorite way to drive the future. 

Our goal is to help the enterprise embrace open source from end to end, across every class of compute and every class of application, starting with the linux kernel itself, to infrastructure solutions like OpenStack and Kubernetes, all the way up to data, security, analytics and serverless capabilities. 

The Silicon Alliances Team works with the leading semiconductor companies  to combine open source adoption with innovative optimizations to get the most from each new chip. With our semiconductor partners, we develop joint product roadmaps, drive delivery, formulate go-to-market plans and conceptualize new business models, enabling differentiated hardware and robust product life-cycle support while still anchored to best-in-class Ubuntu. The end goal is a frictionless experience to deploy, maintain, and develop on any hardware from cloud to edge. 

The successful candidate is someone who is passionate about both hardware and software technology with interest to grow into business development.  We are hiring for positions across early career to senior roles, with scope ranging from small exploratory partnerships to managing our largest and most strategic partnerships.

If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you.

Location:  We are for hybrid work; mix of on-site in our Taipei office and remote from home.   Global travel to sprints, events, and partner meetings is part of the role.

What your day will look like 

• Represent Canonical, its solutions and software to partners.
• Develop a deep understanding of silicon partner strategies, technologies and roadmaps and identify overlap with Canonical’s current and future products.
• Work cross-functionally with engineering, product, marketing and sales teams to facilitate new business, leading definition of joint products, solutions and complex programs relying heavily on your communicating and influencing skills.   
• Ensure that robust project plans are created, tracked, and executed. 
• Develop joint Go To Market strategy and campaigns with silicon partners, manage market messaging, collateral and launch plans across products.
• Negotiate successful contracts.

What we are looking for in you

• B.A / B.S / B.E degree in science, technology and/or engineering.
• Fundamental understanding of the semiconductor industry and ecosystem.
• Experience in software and system architecture is preferred.
• Customer-facing experience in business development, technology strategy or similar functions.
• Excellent communication skills; ability to grasp complex material and synthesize key points.
• Ability to think and work at both strategic and tactical levels
• Disciplined and self motivated for a remote-first workplace environment.

Additional skills that you might also bring

• Experience with open source software and open source business models is preferred.
• Team leadership or program management experience.

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

Open to overseas candidates/Visa Support
This position can be based in Tokyo, Japan or Taipei, Taiwan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth relocation transition to Japan.

#LI-AK1

About Appier

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences.

What You’ll Do

• Key owner of sizable engineering projects and services within the ES REC team.
• Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery.
• Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response.
• Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows.
• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity.
• Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments.
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards.
• Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers.
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Profiling and performance tuning of critical components to ensure high performance and scalability.
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• 5+ years of experience in software development.
• Proficient in Python or Go.
• Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL).
• Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development.
• Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency.
• Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.).

[Preferred qualifications]

• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources.
• AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures.
• Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops.
• Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases.
• Experience in designing and architecting large-scale distributed systems and data-intensive applications.
• Experience with monitoring and alert systems (e.g., Prometheus, Grafana)

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

#LI-AK1

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.

Visit www.appier.com for more information.

About the role

Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.  

We are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

After the internship, there is an opportunity to transition from an intern to a full-time position.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Developing and operate scalable, reliable and maintainable service-based software and related components.
• Improve the scalability and observability of the system.
• Proposing and prototyping solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components.
• Improving system quality with test automation and related toolings.  
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• Currently pursuing a degree in Computer Science or a related technical field.
• Proficient in building web services on a Linux platform.
• Strong skills in at least one of the following programming languages: Python, Go or Java.
• Solid understanding of Network API Design principles (e.g., REST or GraphQL).
• Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
• Minimum familiarity with Git version control and the ability to perform basic Git operations.
• Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
• Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
• A collaborative team player who is also capable of independent work.
• Proactive with strong interpersonal and problem-solving skills.

• Bachelor’s degree in Computer Science or a related field.
• Proficient in performance profiling and debugging tools.
• Experience in developing high-performance network services on Linux.
• Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
• Familiarity with HTML and JavaScript.
• Experience with Nginx and HAProxy.
• Knowledge of Docker and Kubernetes, including experience using these tools.
• Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
• Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
• Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
• Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams.
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Develop and operate scalable, reliable and maintainable service-based softwares and related components.
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Python/Scala/Go/Java/C++
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experiences
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Ansible).
• Continuous integration / continuous deployment
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

#LI-AK1

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers. 

• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers. 

• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.). 

• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control. 

• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM. 

• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA). 

• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection). 

• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications. 

• Vector Database: Experience with Vector DBs for RAG applications. 

Other Benefits 

To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter. 

Work Life Balance is a must  

• 15 days annual leaves (pro-rata for partial month at first year) 
• 5 days full-pay sick leaves, 3 days menstrual leaves 
• Health check subsidy 
• Ergonomic-design chair and fully-equipped devices for work
• Hybrid remote work and flexible working hour.

Grow together & keep learning

• Conferences & external subsidy 
• Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc) 

Work Hard, Play even Harder 

• Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow! 
• Snacks & beverage to refill your energy anytime 

We are supporting an APAC-focused technology company building a non-custodial, protocol-level payment infrastructure that enables seamless on-chain settlement for API-based services. The project sits at the intersection of Web3 payments, cryptographic verification, and high-reliability backend systems, with a strong emphasis on security, low latency, and production-grade operations.

This is a greenfield build where senior engineers will help define architecture, security models, and operational standards from day one.

As a Senior Software Engineer, you will take ownership of core backend services that verify cryptographically signed payment requests and coordinate on-chain settlement across multiple blockchain networks. You will work closely with security, compliance, and product stakeholders, and play a key role in shaping system design, reliability practices, and developer experience.

Responsibilities

• Design and implement high-performance backend APIs for payment verification and settlement
• Build cryptographic verification logic (signature validation, replay protection, idempotency)
• Integrate with blockchain RPC providers and design confirmation, retry, and failover strategies
• Architect secure key-management solutions (KMS/HSM), audit logging, and least-privilege access
• Develop chain adapters for EVM and non-EVM networks, starting with stablecoin transfers
• Own production readiness: SLOs, monitoring, alerting, and incident response workflows
• Write technical documentation, threat models, and operational runbooks
• Mentor junior engineers and contribute to engineering standards and best practices

Qualifications

• 5–8+ years of backend engineering experience, ideally in TypeScript/Node and/or Rust
• Strong understanding of cryptographic signatures, structured payloads, and API security
• Hands-on experience with EVM transaction lifecycle (nonce, gas, finality) and/or Solana
• Proven track record building production-grade distributed systems
• Experience with CI/CD, containerised deployments, and observability tooling
• Excellent written communication skills (design docs, threat models, runbooks)

Strongly Preferred

• Experience with payment or settlement systems (idempotency, retries, reconciliation)
• Familiarity with stablecoin transfer patterns (e.g. USDC on EVM chains)
• Background in non-custodial architectures or security-sensitive systems
• Exposure to protocol-level payment flows, API monetisation, or metered billing

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We are looking for a Data Analyst / Senior Data Analyst in Taiwan to join our Enterprise Solution team.

In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.

To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.

  [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
• Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and Engineers to identify business pain points and provide actionable analytical suggestions.
• Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior.
• Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports.
• A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
• Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.

About you

[Minimum qualifications]

• Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
• Experience: 2+ years of industry experience in data analytics or a related field.
• Technical Skills:
  • Proficient in SQL, Python 
  • Practical experience in developing dashboards using Tableau, Looker, or similar tools.
• Core Competencies:
  • Solid foundation in statistics and strong logical reasoning for problem-solving.
  • Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
  • Excellent oral and written communication skills in English and Mandarin.
  • High level of self-discipline and adaptability within a fast-paced, high-growth environment.

[Preferred qualifications]

• Experience in the Digital Marketing (MarTech) industry.
• Familiarity with Google BigQuery, Mongo DB
• Foundational knowledge or hands-on experience in Machine Learning (ML).
• Experience in Agent development or AI-driven workflows.
• Prior experience working in an English-speaking professional environment with cross-border teams.

#LI-RL1

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the Role

We are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. 
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

What You’ll Work On

• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
• Design and monitor data infrastructure using PostgreSQL and other databases.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with ML scientists to turn research outputs into user-facing product features
• Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

What We’re Looking For (Minimum)

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Experience in cross-functional collaboration and leading projects 
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

What We’re Looking For (Preferred)

• Industry experience in the MarTech domain, with a strong passion for building customer-centric products
• Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Familiarity with distributed computing frameworks (e.g., Apache Spark)
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

#LI-AK1

About Appier

Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.

In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.

What You’ll Do

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.

• Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.

• Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.

• Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.

• Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.

• Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.

• Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.

• Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.

• Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

• 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.

• Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.

• In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.

• Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.

• Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.

• Familiarity with Git workflows and Linux-based development environments.

• Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.

What Will Set You Apart

• Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.

• Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.

• Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.

• Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.

• Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.

• Familiarity with real-time online inference architectures and batch processing trade-offs.

• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

• Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

#LI-AK1