Machine Learning Jobs in Taiwan.
All active Machine Learning roles based in Taiwan.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The Roku TV Technology Engineering team drives innovation and develops proof-of-concept designs for next-generation TV features and reference architectures. Our focus areas include core TV technologies such as Picture Quality, Display, Audio, and System Architecture, with the goal of creating breakthrough solutions and bringing them to production.
We are seeking a System Architect to join our growing Roku TV team in Hsinchu, Taiwan.
About the role
Roku is looking for a Consumer Products System Architect with deep experience in TV system architecture, strong hands-on technical skills, and excellent communication abilities to collaborate across internal teams and external partners.
This is a unique opportunity for a senior technical leader who thrives on independence, visibility, and responsibility. If you are curious, proactive, and comfortable making data-driven decisions in ambiguous situations, this role is for you.
What you’ll be doing
In this role, you will work closely with industry partners, SoC vendors, universities, ODMs, and component suppliers. Your responsibilities include:
- Innovate and define future TV system architectures in collaboration with Product Management, engineering teams, and external vendors
- Engage with SoC and component vendors to understand and influence their technology roadmaps
- Own and manage an innovation roadmap to integrate hardware differentiation into Roku OS
- Collaborate with Roku engineering teams to identify opportunities for unique user experiences and the hardware capabilities required to deliver them
- Design and prototype hardware and software proof-of-concepts using Roku reference designs and/or FPGA prototyping
- Stay ahead of technology and market trends
- Participate in standards bodies to help shape future industry standards
- Solve complex technical challenges impacting our users
You will leverage your leadership skills, business acumen, and technical expertise in areas such as AI/ML, Picture Quality, Display, Audio, and Connectivity to set the system architecture direction for Roku TVs.
We’re excited if you have
- 10+ years of experience in leadership roles within TV engineering
- Proven track record in architecting system solutions for consumer products
- Hands-on experience in several of the following: AI/ML, SoC Architecture, Picture Quality, Video Processing, Display Technology, Audio Processing
- Strong understanding of hardware and TV manufacturing processes
- Solid knowledge of Linux, development tools, open-source software, and SoC development
- Excellent communication skills, with the ability to tailor presentations to different audiences
- Ability to prototype through both hardware (e.g., FPGA) and software
- Fluency in English and Mandarin
- Extensive network across technology partners, industry, and academia in relevant domains
- Strong understanding of TV component cost structures and emerging technologies that can reduce costs
- Master’s degree in Electrical Engineering or a related field
#LI-AK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Regional Supply Chain Security Manager to lead and oversee the protection of high-value assets across our supply chain operations in Taiwan and the broader Asia-Pacific region.
This role holds end-to-end ownership of supply chain security across the region, covering transportation, warehousing, and last-mile delivery of critical infrastructure. The Regional Manager is responsible for defining and executing regional security strategy, managing risk across a complex logistics network, and leading response to security incidents.
This is a high-impact leadership role operating at the intersection of security, logistics, and operations, with direct influence on the resilience and integrity of Nebius’ infrastructure deployment in the region.
You’re welcome to work in our offices in Taiwan.
Your responsibilities will include:
- Own and lead supply chain security across Taiwan and regional operations, with full accountability for risk and performance
- Serve as the primary authority and escalation point for all supply chain security matters in the region
- Define, implement, and continuously evolve regional security standards, controls, and procedures aligned with global policies
- Drive regional security strategy, ensuring scalability and alignment with business growth
- Ensure the secure transportation, storage, and handling of high-value assets across all supply chain nodes
- Oversee logistics operations including transportation routes, warehousing, and delivery activities
- Establish and enforce security requirements across logistics partners, including Third-Party Logistics providers (3PLs), carriers, and vendors
- Conduct comprehensive risk assessments and implement mitigation strategies across the supply chain
- Oversee and, when required, directly support the deployment, installation, and validation of supply chain security technologies across origin points and operational sites
Stakeholder Engagement
- Partner closely with logistics and infrastructure teams to ensure alignment and efficiency
- Manage relationships with external partners, including warehouses, carriers, and 3PL providers
Operational Scope
- Oversight of a geographically distributed supply chain network across Taiwan and regional operations
- Regular engagement with logistics partners and vendors across multiple tiers
- Travel within Taiwan and the Asia-Pacific region as required
- Hands-on involvement in field activities as required, including deployment, installation, and validation of security technologies at origin points and operational sites
We expect you to have:
- Fluency in Mandarin and English (both written and spoken) is required
- Experience in supply chain security, logistics security, or operational risk management
- Proven experience owning and managing security or operations across a regional or multi-site environment
- Experience working with logistics providers, including 3PLs, freight forwarders, and carriers
- Proven leadership and people management experience, including building and leading high-performing teams
- Strong sense of ownership and ability to operate independently with full regional accountability
- Strong stakeholder management and communication skills across internal and external partners
- Familiarity with supply chain security technologies (e.g., GPS tracking, monitoring systems, data tools)
- Willingness to travel within Taiwan and the Asia-Pacific region as required
It will be an added bonus if you have:
- Experience in high-value or critical infrastructure supply chains (e.g., data centers, electronics, technology hardware)
- Background in law enforcement, military, or corporate security
- Experience working in a global organization with cross-regional coordination
- Advanced knowledge of regional logistics networks and risk landscape in Asia-Pacific
Operational Expectations
- This role includes responsibility for leading response to critical supply chain security incidents, which may occur outside standard working hours
- Operates within a global environment requiring coordination across multiple time zones
- Primarily a leadership and strategic role, with accountability for regional outcomes and performance
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
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 are looking for a Machine Learning Scientist (LLM & Agents) 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.
What You’ll Work On
- You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
- Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth.
- Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
- Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
- Collaborate with product teams to translate product requirements into well-defined machine learning problems
- Work with ML engineers to deploy models into production environments
- Conduct offline and online evaluation, monitoring, and continuous optimization after deployment
- Stay up to date with the latest research and proactively propose innovative applications
What We’re Looking For (Minimum)
- Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
- Experience in machine learning, LLM, or software engineering through research, internships, projects, or industry work
- Experience or strong interest in LLM / agentic application development, including:
- Skills / tools / function calling
- AI Protocol (MCP / A2A)
- Workflow orchestration
- Benchmark evaluation
- Strong analytical and problem-solving skills, with passion for learning cutting-edge technologies
- Impact-driven mindset with analytical and problem-solving skills, and passion for learning cutting-edge technologies
- Familiarity with AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot
What We’re Looking For (Preferred)
- Strong focus on quantitative metrics and systematic evaluation
- Industry experience in MarTech and passion for building customer-centric products
- Familiarity with agentic product development concepts such as:
- Context engineering
- Harness engineering
- Evaluation / testing workflows
- Human-in-the-loop workflows
#LI-AK1
Ready to apply?
Apply to Appier
Senior Machine Learning Scientist (Enterprise Solution)
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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 are looking for a Senior Machine Learning Scientist 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.
What You’ll Work On
- Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization
- Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage
- Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability
- Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment
- Stay up to date with the latest research and proactively propose innovative applications
What We’re Looking For (Minimum)
- Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.
- 3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.
- Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.
- Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
- Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot.
What We’re Looking For (Preferred)
- Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.
- Experience in cross-functional collaboration and leading industry projects.
- Industry experience in MarTech and passion for building customer-centric products.
#LI-AK1
Ready to apply?
Apply to Appier
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 Machine Learning Scientist (LLM & Agents) 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.
What You’ll Work On
- You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
- Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth
- Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
- Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
- Collaborate with product teams to translate product goals and business requirements into well-defined machine learning problems
- Work closely with ML engineers to deploy models into production environments with reliability and maintainability
- Conduct offline and online evaluation, monitoring, and continuous optimization after deployment
- Stay up to date with the latest research and proactively propose innovative applications
- (Optional) Mentor junior scientists and help evolve team developing culture and standards.
What We’re Looking For (Minimum)
- Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
- 3+ years of experience in machine learning or engineering roles
- Experience designing, developing, and deploying enterprise LLM / agentic applications, including but not limited to:
- Skills / tools / function calling
- AI Protocol (MCP / A2A)
- Workflow orchestration
- Benchmark evaluation
- Experience collaborating across functions and leading industry projects
- Impact-driven mindset, strong analytical and problem-solving skills, and passion for learning cutting-edge technologies
- Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot
What We’re Looking For (Preferred)
- Strong focus on quantitative metrics and systematic evaluation
- Industry experience in MarTech and passion for building customer-centric products
- Hands-on experience agentic product development, including
- Context engineering
- Harness engineering
- Evaluation / testing workflows
- Human-in-the-loop workflows
#LI-AK1
Ready to apply?
Apply to Appier
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 are looking for a Machine Learning Scientist Intern 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.
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.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
Responsibilities
- Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
- Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
- Stay up to date with the latest research and proactively propose innovative applications.
About you
[Minimum qualifications]
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
- 2+ years of experience in ML or LLM.
- Proficient in Python.
- Proficient in one of the below
1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
2.LLM applications development techniques: RAG, agent, chatbots. - Able to evaluate models with systematic and quantitative analysis.
- Strong data intuition and familiarity with basic statistical concepts.
[Preferred qualifications]
- 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.
#LI-AK1
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【About the role】
We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.
We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.
【Responsibilities】
- Interpret trends or patterns from complex data sets by using statistical and visualization tools.
- Conduct data analysis reports to illustrate the results and insight
- Working with scientists and engineers to monitor and diagnose the system
- Develop tools and systems that optimize analysis process efficiency and report quality.
【About you】
[Minimum qualifications]
- Senior students in college or graduate students in related field
- Good analytical skills to extract meaningful insights from the data.
- Good ability to communicate data analysis insight to audiences with different backgrounds.
- Proficient oral and written communication skills in English.
- Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
- Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
- Programming skill: can write Python scripts for simple job automation.
[Preferred qualifications]
- Working experiences in digital advertising industries.
- Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
- Advanced Python programming: e.g. able to do complex analysis using Python.
- Experience in writing Spark programs for data analysis.
Ready to apply?
Apply to Appier
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.
As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.
What You'll Do :
- AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
- System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
- Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
- Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
- Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
- Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.
- Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
- Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.
What We're Looking For:
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: 3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.
- Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
- AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
- AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
- Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
- Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
- Communication: Excellent communication and project management skills.
- Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
- Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.
Perks & Benefits:
We offer a comprehensive and people-first benefits package to support you at work and in life:
- We offer Cresta employees a variety of medical benefits designed to fit your stage of life
- Flexible vacation time to promote a healthy work-life blend
- Paid parental leave to support you and your family
Compensation at Cresta
Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
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Advanced Packaging Process Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is seeking an Advanced Packaging Process Engineer with experience in 2.5D and 3D chiplet packaging to join Tenstorrent’s Packaging team. You will drive advanced package technology and reliability in close partnership with foundries and OSATs, helping push performance and manufacturability for next‑generation AI/ML products.
This role is hybrid, based out of Santa Clara, CA or Taipei City, TW.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who you are
- Advanced packaging engineer with hands-on 2.5D/3D experience (CoWoS-R/L, FOCoS, EMIB, FCBGA, organic substrates, silicon interposers, embedded Si/eCB, micro-bumps, BGAs).
- Strong in reliability and failure analysis for advanced packaging, including qualification, root cause analysis, and corrective actions.
- Deep understanding of process flows and materials (polyimide, ABF, core, underfill, mold compound) and their interactions (warpage, stress, delamination, mechanical risk).
- Proven track record working with foundries/OSATs on NPI, design rules, excursions, yield/cost optimization, and production ramp, with clear communication and cross-functional collaboration.
What we need
- Own advanced package technology implementation for 2.5D/3D chiplet products, including technology choices, process integration, and manufacturability.
- Act as primary technical interface to foundries/OSATs: align capabilities and design rules, manage excursions, drive yield, define/track test vehicles, and coordinate FA.
- Partner with design, reliability, and architecture teams to evaluate tradeoffs (bump pitch, stack-ups, embedded Si, etc.) and lead test vehicle planning to meet program needs.
- MS/PhD in a relevant field (Materials, Mechanical, Electrical, Physics, or related) and 5+ years in advanced packaging for high-performance semiconductors from NPI through production (2.5D/3D flows such as CoWoS, FOCoS, EMIB, FCBGA or equivalent).
What you will learn
- Deeper exposure to leading-edge 2.5D/3D packaging for high-performance AI/ML and chiplet-based architectures.
- How to balance performance-driven architecture with mechanical and reliability constraints to make robust package technology decisions.
- Ways to use AI- and automation-driven methods to accelerate risk assessment, qualification planning, and technical documentation.
- Best practices for building strategic OSAT and foundry partnerships that enable new capabilities while scaling reliable high-volume production.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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Principal Supplier Quality Engineer
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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Job Description:
We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab’s semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT’s, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired with experience in advanced data analytics (including AI and machine learning) for predictive quality, risk assessments, and product quality analytics will be highly valuable to this role.
Responsibilities:
Supplier Quality Management
· Nurture winning partnerships across all our strategic manufacturing suppliers: semiconductor wafer fabs, advanced packaging & test (OSAT), boards & assemblies (PCB / PCBA / SMT), substrates / interposers, probe cards, and passive components.
· Develop robust supplier selection and onboarding processes in collaboration with Design, Procurement, Business & Engineering Operations teams.
· Define, build, and manage the systems to collect the data (KPI’s) needed to track supplier performance and drive continuous improvement.
· Audit to assess the effectiveness of supplier process controls, manufacturing capabilities, and overall quality management system.
· Coach suppliers by sharing your deep manufacturing experience and knowledge.
· International travel as needed, potentially on short notice. There is no minimum amount but prepare to accommodate up to 20%.
Advanced Data Analytics & AI/ML
· Create data collection methods to enable product and supplier advanced data analytics needed for monolithic, chiplet, and board products. Data sources will include manufacturing inline controls, production test (including data collection from advanced embedded agents), and failure analysis activities.
· Leverage data into quality models & methods to predict product quality issues and supply chain risks.
· Integrate AI/ML tools into quality systems and dashboards (e.g., outlier screening, automated defect detection, trend analysis, real-time alerts).
· Experience with AI/ML tools is a plus but not required; ability to work with technical partners on model development is key.
Cross-functional Collaboration
· Interface with R&D, NPI, product engineering, ops and other engineering teams to provide supplier input into product design and DFX.
· Support early supplier involvement and ensure quality requirements needed for manufacturability & testability are achieved, and learnings are propagated appropriately to other products in production & development.
· Represent supplier quality as needed in line failure reviews, excursion management, material reviews (MRB), and CAPA processes.
· Partner with engineering and manufacturing teams to conduct quarterly engineering reviews, evaluate supplier changes (PCN), and assess supplier risks.
· With engineering engagement, lead quality audits, and corrective action activities using tools such as 8D, 5-why, and FMEA.
Education & Experience
· Bachelor’s or Master’s degree in Engineering or equivalent experience.
· 8+ years of career progression in supplier quality engineering in the semiconductor and/or board-level electronics industry.
· 3+ years direct experience working embedded within a high-volume advanced manufacturing operation in an engineering role.
· Experience with supplier development in Asia with global manufacturing supply chains.
· Six Sigma or ASQ certification a plus
Technical Skills
· Strong knowledge of IC fabrication, packaging (including chiplet), board assembly (SMT), and test processes.
· Familiarity with reliability qualification methodologies in the application of IPC, Telcordia, JEDEC requirements.
· Proficiency with quality engineering tools (FMEA, APQP, PPAP, SPC, OE, etc.).
· Experience using analytics tools (e.g., JMP, SQL, Excel) to support quality insights. Exposure to AI/ML frameworks is a plus, but not required.
· Fluent in English and Mandarin
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Ready to apply?
Apply to Astera LabsRealize your potential by joining the leading performance-driven advertising company!
As a Algorithm Engineer on the R&D Team in our Taipei office, you’ll play a vital role in developing cutting-edge machine learning models that power personalized content recommendations for over 1 billion users worldwide. You’ll research, build, and deploy AI-driven solutions that enhance user engagement and drive business growth.
To thrive in this role, you'll need:
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Master’s degree in CS/CE, EE, Physics, Applied Mathematics, or a related field (Ph.D. is a plus).
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1+ year of full-time work experience (or 3+ months internship for fresh graduates) in data science.
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3+ years of programming experience in Python, Java, or Scala.
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Hands-on experience with machine learning frameworks like PyTorch or TensorFlow.
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Strong SQL and database skills for data extraction and analysis.
Bonus points if you have:
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Experience in content understanding or behavioral prediction models.
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Knowledge of optimization algorithms for business applications.
How you’ll make an impact:
As a Algorithm Engineer, you’ll bring value by:
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Researching and proposing data-driven solutions for personalization and targeting.
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Building and deploying machine learning models to enhance content recommendations.
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Developing optimization algorithms to meet key business objectives.
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Creating and maintaining data pipelines for ML model training and evaluation.
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Collaborating with product and engineering teams to productionize AI solutions.
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Presenting insights and model performance to stakeholders in a clear, actionable way.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart, talented peers. 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.”
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Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
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Flexibility: Hybrid work model with 3 days in-office and the option to come in more often if desired.
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Work with 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. We value diversity and are committed to fostering an inclusive environment. Employment is based on 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
Ready to apply?
Apply to Taboola
Manager, Data Analytics
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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 Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.
This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.
What You Will Do:
- Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
- Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
- Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
- Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
- Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth.
- Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
- Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
- Spearhead technical excellence in Analytics, Data Science, and BI reporting.
- Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.
Basic Qualifications
- Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
- Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
- Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
- Experience with big data tools like Hadoop, Spark, and Presto
- Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
- Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
- Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
- Ability to write clear and concise technical documentation.
- Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.
Preferred Qualifications:
- 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
- Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta.
- Experience working with ML models that optimize digital marketing and CRM campaigns.
- Experience optimizing CRM campaigns that include push, email, SMS.
- Proving track record of delivering data product and models that optimize marketing operastions
- Proficiency in writing clean code within version-controlled environments
- Experience with Gen-AI workflows and LLMs a plus
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/
Ready to apply?
Apply to Coupang InternalCompany 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 Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.
This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.
What You Will Do:
- Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
- Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
- Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
- Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
- Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth.
- Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
- Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
- Spearhead technical excellence in Analytics, Data Science, and BI reporting.
- Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.
Basic Qualifications
- Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
- Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
- Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
- Experience with big data tools like Hadoop, Spark, and Presto
- Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
- Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
- Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
- Ability to write clear and concise technical documentation.
- Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.
Preferred Qualifications:
- 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
- Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta.
- Experience working with ML models that optimize digital marketing and CRM campaigns.
- Experience optimizing CRM campaigns that include push, email, SMS.
- Proving track record of delivering data product and models that optimize marketing operastions
- Proficiency in writing clean code within version-controlled environments
- Experience with Gen-AI workflows and LLMs a plus
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/
Ready to apply?
Apply to Coupang
Senior Data Analyst, Affiliate Marketing
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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 Overseas” 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
Coupang Taiwan is looking for a Senior Analyst to join our Affiliate Marketing Operations. In this role, you will work within the Growth Analytics team to enable marketing campaigns across various affiliate channels. You will partner closely with marketing stakeholders to build performance reporting and data feeds, while analyzing user behavior to support campaign operations and "wow" our customers! Additionally, you will collaborate with engineers to develop marketing products and tracking features, with the opportunity to contribute to building data models and improving our data pipelines.
What You Will Do
- Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds.
- Work closely with stakeholders to deep-dive into data issues and provide clear and actionable plans by analyzing data and insights.
- Maintain a high bar for quality and accuracy. Provide clear documentation of work and code.
- Work on defining the Marketing Metric, building and maintaining Marketing dashboards. Continuously track marketing campaign results.
- Communicate effectively and proactively with internal stakeholders.
- Collaborate with the Marketing Tech team to guide product development by sharing actionable insights from our existing reports.
Basic Qualifications
- Bachelor’s degree or equivalent experience
- 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)
- Foundational knowledge of statistical concepts and testing methodologies
- Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data
- Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely
- Identify key drivers of performance and provide actionable insights to stakeholders through the application of data analytics, scripting and programming skills (Python, SQL) as well as any relevant tools.
Preferred Qualifications
- Master’s degree in Business Analytics, Data Science, or a related field
- Experience in Retail/E-commerce industries, Affiliate Marketing, Performance Marketing, or CRM functions
- Experience in data ETL (Extract, Transform, Load) and data engineering principles
- Proficiency with Python or other scripting languages for advanced data manipulation
- Experience working in a global or multinational team environment
- Experience collaborating with the engineering team to develop products.
- Experienced in building machine learning models to enable precision marketing and improve audience targeting accuracy.
Recruitment Process and Others
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.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:
Ready to apply?
Apply to Coupang InternalSenior Product Manager (Catalog)
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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:
The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.
What You Will Do:
This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.
In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:
- Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
- Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
- Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
- Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
- Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.
Basic Qualifications
- Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
- Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
- Ability to combine strategic foresight with a strong execution focus to drive results. Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
- Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
- A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment. Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
- Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.
Preferred Qualifications:
- Prior experience in the e-commerce industry.
- Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
- Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.
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/
Ready to apply?
Apply to Coupang InternalStaff Data Scientist (Growth)
Share this job
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 marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business
What You Will Do:
- Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
- Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
- Train and deploy machine learning models on both in-house and cloud-based platforms.
- Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
- Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
- Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
- Create a data pipeline to ensure data availability and quality.
- Interpret and present your data story to marketing leadership.
- Foster an analytic culture as part of a growing data team.
Basic Qualifications
- 5+ years’ working experience in machine learning.
- 3+ years’ working experience in SQL.
- 3+ years’ working experience in Python.
- Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
- Strong critical thinking and problem-solving skills.
- Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
- Strong communication skills to share analysis results in clear and concise manners.
- Proficiency in both Mandarin and English (both verbal and written).
Preferred Qualifications:
- Experience in retail / E-commerce industries.
- Experience in growth marketing and CRM function.
- Master’s degree in business analytics, data analytics, data science or equivalent experience.
- Experience in data ETL and data engineering.
- Experience in AWS or GCP.
- Strong English skills (both verbal and written).
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/
Ready to apply?
Apply to Coupang InternalStaff Data Scientist (Marketing)
Share this job
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 marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.
This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business
What You Will Do:
- Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
- Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
- Train and deploy machine learning models on both in-house and cloud-based platforms.
- Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
- Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
- Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
- Create a data pipeline to ensure data availability and quality.
- Interpret and present your data story to marketing leadership.
- Foster an analytic culture as part of a growing data team.
Basic Qualifications
- 5+ years’ working experience in machine learning.
- 3+ years’ working experience in SQL.
- 3+ years’ working experience in Python.
- Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
- Strong critical thinking and problem-solving skills.
- Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
- Strong communication skills to share analysis results in clear and concise manners.
- Proficiency in both Mandarin and English (both verbal and written).
Preferred Qualifications:
- Experience in retail / E-commerce industries.
- Experience in growth marketing and CRM function.
- Master’s degree in business analytics, data analytics, data science or equivalent experience.
- Experience in data ETL and data engineering.
- Experience in AWS or GCP.
- Strong English skills (both verbal and written).
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/
Ready to apply?
Apply to Coupang InternalCompany 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 Overseas” 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
Coupang Taiwan is looking for a Senior Analyst to join our Affiliate Marketing Operations. In this role, you will work within the Growth Analytics team to enable marketing campaigns across various affiliate channels. You will partner closely with marketing stakeholders to build performance reporting and data feeds, while analyzing user behavior to support campaign operations and "wow" our customers! Additionally, you will collaborate with engineers to develop marketing products and tracking features, with the opportunity to contribute to building data models and improving our data pipelines.
What You Will Do
- Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds.
- Work closely with stakeholders to deep-dive into data issues and provide clear and actionable plans by analyzing data and insights.
- Maintain a high bar for quality and accuracy. Provide clear documentation of work and code.
- Work on defining the Marketing Metric, building and maintaining Marketing dashboards. Continuously track marketing campaign results.
- Communicate effectively and proactively with internal stakeholders.
- Collaborate with the Marketing Tech team to guide product development by sharing actionable insights from our existing reports.
Basic Qualifications
- Bachelor’s degree or equivalent experience
- 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)
- Foundational knowledge of statistical concepts and testing methodologies
- Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data
- Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely
- Identify key drivers of performance and provide actionable insights to stakeholders through the application of data analytics, scripting and programming skills (Python, SQL) as well as any relevant tools.
Preferred Qualifications
- Master’s degree in Business Analytics, Data Science, or a related field
- Experience in Retail/E-commerce industries, Affiliate Marketing, Performance Marketing, or CRM functions
- Experience in data ETL (Extract, Transform, Load) and data engineering principles
- Proficiency with Python or other scripting languages for advanced data manipulation
- Experience working in a global or multinational team environment
- Experience collaborating with the engineering team to develop products.
- Experienced in building machine learning models to enable precision marketing and improve audience targeting accuracy.
Recruitment Process and Others
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.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:
Ready to apply?
Apply to Coupang
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:
The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.
What You Will Do:
This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.
In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:
- Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
- Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
- Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
- Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
- Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.
Basic Qualifications
- Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
- Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
- Ability to combine strategic foresight with a strong execution focus to drive results. Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
- Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
- A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment. Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
- Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.
Preferred Qualifications:
- Prior experience in the e-commerce industry.
- Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
- Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.
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/
Ready to apply?
Apply to Coupang
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 marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business
What You Will Do:
- Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
- Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
- Train and deploy machine learning models on both in-house and cloud-based platforms.
- Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
- Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
- Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
- Create a data pipeline to ensure data availability and quality.
- Interpret and present your data story to marketing leadership.
- Foster an analytic culture as part of a growing data team.
Basic Qualifications
- 5+ years’ working experience in machine learning.
- 3+ years’ working experience in SQL.
- 3+ years’ working experience in Python.
- Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
- Strong critical thinking and problem-solving skills.
- Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
- Strong communication skills to share analysis results in clear and concise manners.
- Proficiency in both Mandarin and English (both verbal and written).
Preferred Qualifications:
- Experience in retail / E-commerce industries.
- Experience in growth marketing and CRM function.
- Master’s degree in business analytics, data analytics, data science or equivalent experience.
- Experience in data ETL and data engineering.
- Experience in AWS or GCP.
- Strong English skills (both verbal and written).
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/
Ready to apply?
Apply to Coupang
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 marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.
This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business
What You Will Do:
- Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
- Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
- Train and deploy machine learning models on both in-house and cloud-based platforms.
- Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
- Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
- Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
- Create a data pipeline to ensure data availability and quality.
- Interpret and present your data story to marketing leadership.
- Foster an analytic culture as part of a growing data team.
Basic Qualifications
- 5+ years’ working experience in machine learning.
- 3+ years’ working experience in SQL.
- 3+ years’ working experience in Python.
- Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
- Strong critical thinking and problem-solving skills.
- Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
- Strong communication skills to share analysis results in clear and concise manners.
- Proficiency in both Mandarin and English (both verbal and written).
Preferred Qualifications:
- Experience in retail / E-commerce industries.
- Experience in growth marketing and CRM function.
- Master’s degree in business analytics, data analytics, data science or equivalent experience.
- Experience in data ETL and data engineering.
- Experience in AWS or GCP.
- Strong English skills (both verbal and written).
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/
Ready to apply?
Apply to Coupang
About the role:
Responsibilities:
- Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering. Focus on automation so we can spend energy where it matters.
- Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
What we are looking for:
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
- Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
- Production experience with database software such as PostgreSQL
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Perks & Benefits:
- We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
- Paid parental leave to support you and your family
- Monthly Health & Wellness allowance
- Work from home office stipend to help you succeed in a remote environment
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaStaff Applications Software Engineer, Zephyr
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Company Overview
Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us — the intelligence everywhere revolution starts here.
Scope
As the Staff Applications Software Engineer, Zephyr at Ambiq, you will drive the development and testing of Ambiq’s Zephyr software offering. This includes porting new Ambiq SoCs to the Zephyr environment and enabling hardware evaluation platforms, staying up-to-date with the latest Zephyr developments and maintaining Ambiq SoC compliance, building new samples and drivers, and driving power optimizations to best showcase our ultra-low power technology.
This role will work within our Applications Engineering Team and will work closely with the global MCU software team.
The successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. They should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems.
The person in this role will be responsible for leading Ambiq’s Zephyr software development and testing, coordinating with the global team to make improvements and fix customer issues, and representing Ambiq to the Zephyr technical steering committee and community with the help of Ambiq engineers and subject matter experts.
Responsibilities
- Lead the development, testing, and maintenance of Ambiq’s Zephyr offering, including sample, driver, and software testcase development, as well as hardware enablement.
- Take a key role in Ambiq Zephyr repository processes and maintenance, including CI/CD.
- Manage Ambiq Zephyr issue status tracking, debug, and resolution.
- Collaborate with internal engineering teams to analyze and debug complex system level issues and develop software solutions.
- Focus on demonstrating Ambiq’s low-power advantages to the greatest extent possible within the Zephyr ecosystem.
- Create application notes and software guidelines.
- Support applications and field engineers, and key customers as needed.
Qualifications
- MS in ECE or Computer Science and 6+ years of experience or BS ECE/CS with 8+ years of experience, with at least 3 years focusing on the Zephyr ecosystem;
- Experience with ARM Cortex-M processors.
- Deep understanding of Zephyr RTOS required.
- Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors;
- Experience working with MCU peripherals including SPI, I2C, UART, and USB.
- Experience with at least one MCU IDE from ARM, Keil, IAR, Eclipse, Ozone or other;
- Experience with security, Bluetooth, Matter/Thread, and/or machine learning models within the Zephyr ecosystem is a real plus.
- Good hands-on experience on lab equipment such as oscilloscopes, logic analyzers etc. for debugging issues;
- Experience with Jira, Confluence and collaboration tools;
- Experience with source code control systems (git) required;
- Understanding of software testing and test automation principles;
- Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug;
- Experience with scripting languages required and python experience is specifically desirable;
- Strong communication and documentation skills.
Ready to apply?
Apply to Ambiq Micro, Inc.Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
Job Summary:
Plume is seeking a hands-on, technically skilled Professional Services Engineer to implement Plume solutions for ISP customers. This role works directly with customers, partners, and cross-functional teams to configure, integrate, test, and validate solutions defined in the Statement of Work (SOW). The Professional Services Engineer also produces technical documentation, provides knowledge transfer and training, collaborates closely with Project Managers and Pre-Sales Architects, and ensures a smooth handoff to the Customer Success Team.
The ideal candidate is a highly technical, customer-facing person that possesses deep problem-solving skills, excellent communication, and strong ownership of solution delivery.
Primary Responsibilities:
- Execute all technical components of the solution as defined in the SOW
- Configure, validate, and optimize Plume platform components for ISP deployments
- Integrate Plume solutions with customer systems including OSS/BSS, authentication, provisioning, and monitoring systems
- Conduct API-based integrations, data mapping, configuration scripting, and end-to-end functional validation
- Troubleshoot and resolve technical issues during installation, integration, and testing phases
- Serve as the primary technical resource during implementation
- Work directly with customer engineering, NOC, operations, and partner teams to ensure solution readiness and alignment
- Provide guidance and technical recommendations throughout the deployment lifecycle
- Communicate complex concepts clearly to technical and non-technical stakeholders
- Develop customer-specific implementation guides, configuration records, runbooks, and integration documentation
- Produce detailed as-built documentation for use by customers and internal teams
- Provide structured knowledge transfer sessions for customer technical teams
- Deliver light training on system operation, configuration workflows, and best practices
- Conduct system, integration, regression, and acceptance testing aligned to SOW requirements
- Validate end-to-end solution performance, data flows, and reliability prior to launch
- Create and execute test plans, tracking defects and ensuring resolution
- Ensure deployment quality meets or exceeds Plume standards
- Work with PreSales Architects to align solution design with implementation details
- Collaborate with Project/Program Managers on timelines, risks, issues, and technical dependencies
- Interface with Engineering, Support, and Customer Success teams for escalations, bug triage, or advanced troubleshooting
- Provide technical feedback to improve Plume’s products, tools, and deployment processes
- Prepare all technical documentation required for Customer Success handoff
- Ensure customer environments are fully validated and stable before transition
- Support early operational ramp-up and address lingering issues to guarantee a clean handover
Qualification Requirements:
- 8+ years of experience as a Professional Services Engineer, Implementation Engineer, Systems Engineer, Network Engineer, or similar technical role
- Strong technical skills with ISP environments including networking, Wi-Fi, routing, switching, cloud architecture, OSS/BSS, authentication, and provisioning systems
- Hands-on experience configuring and debugging network devices, CPE, or cloud-managed platforms
- Experience with APIs, JSON, scripting, and integration workflows
- Excellent communication and customer interaction skills
- Ability to produce detailed technical documentation and deliver training
- Strong problem-solving skills and the ability to diagnose complex issues
Preferred:
- Wi-Fi and home network expertise, including wireless optimization and troubleshooting
- Experience with large-scale ISP deployments or partner ecosystem integrations.
- Knowledge of Linux, command-line tooling, or automation frameworks
- Familiarity with cloud services, microservices, or distributed systems
- Experience with Plume’s product ecosystem (OpenSync, HomePass, WorkPass, Haystack, etc.) is a strong plus
- Background in customer-facing consulting or professional services delivery
Success Indicators:
- High-quality, on-time technical implementation aligned with SOW requirements
- Clear and complete technical documentation delivered to customers and Customer Success
- High customer satisfaction with technical execution and knowledge transfer
- Low number of escalations during or after handoff
- Strong internal feedback from PreSales Architects, PMs, Engineering, and Customer Success
- Consistent adherence to Plume deployment best practices
#RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Staff/Senior Machine Learning Scientist (Ad Cloud) - Tokyo,Japan
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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.
Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.
The Impact You’ll Make at Appier
Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.
What You’ll Work On
- Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
- Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
- Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
- Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).
What We’re Looking For
- Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
- 4+ years of industry experience in ad tech, with a focus on performance optimization.
- Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
- Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
- Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).
#LI-AK1
Ready to apply?
Apply to Appier
Linux Enablement - Software Engineering Manager
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Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.
As a Software Engineering Manager you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system, low-level debugging, critical thinking, problem-solving skills and management ability.
Key responsibilities
- Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
- Set goals with the team; prioritize tasks, identify and measure team health indicators
- Maximise the results of team members and support their career growth
- Coordinate with project managers, HWE, QA and certification management
- Monitor projects from kickoff to post-mortem and handle escalations
- Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
- Prioritize customer requests globally
- Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
- Provide leadership for methodologies, strategies, standards, tools, and best practices
- Must be able to travel to the EU, USA, China, and Taiwan
Required skills and experience
- A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
- Proven track record in technical roles with Linux, preferably Ubuntu or Debian
- Commitment to development and testing methodologies, and maintainable code quality
- Experience with management responsibilities
- Ability to work collaboratively in a team environment
- Ability to be productive in a globally distributed team through self-discipline and self-motivation
- Commitment and energy to deliver on schedule
- Strong English and Chinese language communication skills, both written and verbal
Desirable skills and experience
- Making technical decisions for a team as a tech lead
- Software architecture and design experience
- Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
- Participation in open-source development projects
- Experience with CI/CD
Canonical is an equal opportunity employer
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to Canonical
Linux Enablement - Software Engineering Manager
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Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.
As a Software Engineering Manager you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system, low-level debugging, critical thinking, problem-solving skills and management ability.
Key responsibilities
- Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
- Set goals with the team; prioritize tasks, identify and measure team health indicators
- Maximise the results of team members and support their career growth
- Coordinate with project managers, HWE, QA and certification management
- Monitor projects from kickoff to post-mortem and handle escalations
- Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
- Prioritize customer requests globally
- Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
- Provide leadership for methodologies, strategies, standards, tools, and best practices
- Must be able to travel to the EU, USA, China, and Taiwan
Required skills and experience
- A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
- Proven track record in technical roles with Linux, preferably Ubuntu or Debian
- Commitment to development and testing methodologies, and maintainable code quality
- Experience with management responsibilities
- Ability to work collaboratively in a team environment
- Ability to be productive in a globally distributed team through self-discipline and self-motivation
- Commitment and energy to deliver on schedule
- Strong English and Chinese language communication skills, both written and verbal
Desirable skills and experience
- Making technical decisions for a team as a tech lead
- Software architecture and design experience
- Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
- Participation in open-source development projects
- Experience with CI/CD
Canonical is an equal opportunity employer
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-ET1 #stack
Ready to apply?
Apply to Canonical
Ubuntu Enablement - Software Engineering Manager
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Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.
As a Software Engineering Manager you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system, low-level debugging, critical thinking, problem-solving skills and management ability.
Key responsibilities
- Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
- Set goals with the team; prioritize tasks, identify and measure team health indicators
- Maximise the results of team members and support their career growth
- Coordinate with project managers, HWE, QA and certification management
- Monitor projects from kickoff to post-mortem and handle escalations
- Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
- Prioritize customer requests globally
- Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
- Provide leadership for methodologies, strategies, standards, tools, and best practices
- Must be able to travel to the EU, USA, China, and Taiwan; (after covid-19 restrictions lift)
Required skills and experience
- A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
- Proven track record in technical roles with Linux, preferably Ubuntu or Debian
- Commitment to development and testing methodologies, and maintainable code quality
- Experience with management responsibilities
- Ability to work collaboratively in a team environment
- Ability to be productive in a globally distributed team through self-discipline and self-motivation
- Commitment and energy to deliver on schedule
- Strong English and Chinese language communication skills, both written and verbal
Desirable skills and experience
- Making technical decisions for a team as a tech lead
- Software architecture and design experience
- Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
- Participation in open-source development projects
- Experience with CI/CD
Canonical is an equal opportunity employer
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-ET1 #stack
Ready to apply?
Apply to Canonical
Senior Software Engineer, Backend Development (Playable Ads)
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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
Ready to apply?
Apply to Appier
Senior Machine Learning Scientist, Playable Ads
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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
AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.
If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.
What You’ll Work On
- Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
- Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
- Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
- Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
- Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
- Mentor fellow scientists and contribute to the team’s technical standards and culture.
What We’re Looking For
[Minimum qualifications]
- Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
- Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
- Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
- Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
- Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
- Clear communicator who can explain technical ideas 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.
- Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.
[Preferred qualifications]
- Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
- Experience in the advertising technology or MarTech domain.
- Contributions to open-source projects or active involvement in research communities.
#LI-AK1
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Apply to Appier
Business Development Manager - Talent / Recruitment (AI ML, Fintech, Blockchain Ecosystems)
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We're seeking a dynamic Business Development Manager to join our recruitment team focused on the crypto, blockchain, AI, and fintech trading sectors. This role involves expanding our network and securing new accounts, with the potential to engage in some 360 recruitment activities. The primary focus will be on driving business development initiatives, ensuring our growth as a platform for top web3 and emerging tech talent.
Responsibilities:
- Identify and pursue new business opportunities within the crypto, blockchain, AI, ML, and fintech industries.
- Develop and maintain strong relationships with industry partners and potential clients.
- Collaborate with the recruitment team to align business development strategies with company goals.
- Negotiate and close business deals that increase revenue and market presence.
- Participate in 360 recruitment activities as needed, ensuring seamless integration with business development efforts.
- Track and report on performance metrics to optimize business development activities.
Required skills:
- Preferably based in HK for Hybrid Work - we're mostly remote but work better with a few days onsite
- Proven experience in business development, in recruitment industry, able to onboard average 1-2 accounts per month (no regional restrictions), or source 5-10 new jobs per month.
- Strong understanding of the crypto, blockchain, AI, and/or fintech markets.
- Beyond excellent communication, negotiation, and influencing skills.
- Ability to build and maintain long-term professional relationships.
- Self-motivated with a strong track record of meeting and exceeding targets.
- Flexibility to adapt and engage in different facets of recruitment, including 360 activities.
What's in it for you...
- Vesting ownership of accounts post if you decide to leave
- Guaranteed income on deals under your accounts
- Start small, then grow big setup: You can join as a freelancer without too much commitment, once your accounts mature, you can join us full-time.
- Chance to leverage specialist recruiters in blockchain, fintech and banking to build your brand as a connector as well as knowledge transfer from the team and specialists within their networks (shared office setup with blockchain teams).
Ready to apply?
Apply to Hyphen Connect Limited
Business Development Manager - Talent / Recruitment (AI ML, Fintech, Blockchain Ecosystems)
Share this job
We're seeking a dynamic Business Development Manager to join our recruitment team focused on the crypto, blockchain, AI, and fintech trading sectors. This role involves expanding our network and securing new accounts, with the potential to engage in some 360 recruitment activities. The primary focus will be on driving business development initiatives, ensuring our growth as a platform for top web3 and emerging tech talent.
Responsibilities:
- Identify and pursue new business opportunities within the crypto, blockchain, AI, ML, and fintech industries.
- Develop and maintain strong relationships with industry partners and potential clients.
- Collaborate with the recruitment team to align business development strategies with company goals.
- Negotiate and close business deals that increase revenue and market presence.
- Participate in 360 recruitment activities as needed, ensuring seamless integration with business development efforts.
- Track and report on performance metrics to optimize business development activities.
Required skills:
- Preferably based in HK for Hybrid Work - we're mostly remote but work better with a few days onsite
- Proven experience in business development, in recruitment industry, able to onboard average 1-2 accounts per month (no regional restrictions), or source 5-10 new jobs per month.
- Strong understanding of the crypto, blockchain, AI, and/or fintech markets.
- Beyond excellent communication, negotiation, and influencing skills.
- Ability to build and maintain long-term professional relationships.
- Self-motivated with a strong track record of meeting and exceeding targets.
- Flexibility to adapt and engage in different facets of recruitment, including 360 activities.
What's in it for you...
- Vesting ownership of accounts post if you decide to leave
- Guaranteed income on deals under your accounts
- Start small, then grow big setup: You can join as a freelancer without too much commitment, once your accounts mature, you can join us full-time.
- Chance to leverage specialist recruiters in blockchain, fintech and banking to build your brand as a connector as well as knowledge transfer from the team and specialists within their networks (shared office setup with blockchain teams).
Ready to apply?
Apply to Hyphen Connect Limited
Business Development Manager - Talent / Recruitment (AI ML, Fintech, Blockchain Ecosystems)
Share this job
We're seeking a dynamic Business Development Manager to join our recruitment team focused on the crypto, blockchain, AI, and fintech trading sectors. This role involves expanding our network and securing new accounts, with the potential to engage in some 360 recruitment activities. The primary focus will be on driving business development initiatives, ensuring our growth as a platform for top web3 and emerging tech talent.
Responsibilities:
- Identify and pursue new business opportunities within the crypto, blockchain, AI, ML, and fintech industries.
- Develop and maintain strong relationships with industry partners and potential clients.
- Collaborate with the recruitment team to align business development strategies with company goals.
- Negotiate and close business deals that increase revenue and market presence.
- Participate in 360 recruitment activities as needed, ensuring seamless integration with business development efforts.
- Track and report on performance metrics to optimize business development activities.
Required skills:
- Preferably based in HK for Hybrid Work - we're mostly remote but work better with a few days onsite
- Proven experience in business development, in recruitment industry, able to onboard average 1-2 accounts per month (no regional restrictions), or source 5-10 new jobs per month.
- Strong understanding of the crypto, blockchain, AI, and/or fintech markets.
- Beyond excellent communication, negotiation, and influencing skills.
- Ability to build and maintain long-term professional relationships.
- Self-motivated with a strong track record of meeting and exceeding targets.
- Flexibility to adapt and engage in different facets of recruitment, including 360 activities.
What's in it for you...
- Vesting ownership of accounts post if you decide to leave
- Guaranteed income on deals under your accounts
- Start small, then grow big setup: You can join as a freelancer without too much commitment, once your accounts mature, you can join us full-time.
- Chance to leverage specialist recruiters in blockchain, fintech and banking to build your brand as a connector as well as knowledge transfer from the team and specialists within their networks (shared office setup with blockchain teams).
Ready to apply?
Apply to Hyphen Connect Limited
Business Development Manager - Talent / Recruitment (AI ML, Fintech, Blockchain Ecosystems)
Share this job
We're seeking a dynamic Business Development Manager to join our recruitment team focused on the crypto, blockchain, AI, and fintech trading sectors. This role involves expanding our network and securing new accounts, with the potential to engage in some 360 recruitment activities. The primary focus will be on driving business development initiatives, ensuring our growth as a platform for top web3 and emerging tech talent.
Responsibilities:
- Identify and pursue new business opportunities within the crypto, blockchain, AI, ML, and fintech industries.
- Develop and maintain strong relationships with industry partners and potential clients.
- Collaborate with the recruitment team to align business development strategies with company goals.
- Negotiate and close business deals that increase revenue and market presence.
- Participate in 360 recruitment activities as needed, ensuring seamless integration with business development efforts.
- Track and report on performance metrics to optimize business development activities.
Required skills:
- Preferably based in HK for Hybrid Work - we're mostly remote but work better with a few days onsite
- Proven experience in business development, in recruitment industry, able to onboard average 1-2 accounts per month (no regional restrictions), or source 5-10 new jobs per month.
- Strong understanding of the crypto, blockchain, AI, and/or fintech markets.
- Beyond excellent communication, negotiation, and influencing skills.
- Ability to build and maintain long-term professional relationships.
- Self-motivated with a strong track record of meeting and exceeding targets.
- Flexibility to adapt and engage in different facets of recruitment, including 360 activities.
What's in it for you...
- Vesting ownership of accounts post if you decide to leave
- Guaranteed income on deals under your accounts
- Start small, then grow big setup: You can join as a freelancer without too much commitment, once your accounts mature, you can join us full-time.
- Chance to leverage specialist recruiters in blockchain, fintech and banking to build your brand as a connector as well as knowledge transfer from the team and specialists within their networks (shared office setup with blockchain teams).
Ready to apply?
Apply to Hyphen Connect Limited
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 solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.
Responsibilities
- Design, develop, and maintain RESTful APIs using Python.
- Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
- Design and develop data pipelines using Apache Airflow and Apache Spark.
- Work closely with cross-functional teams to develop automation tools that streamline daily operations.
- Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
- Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
- Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
- Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.
About you
[Minimum qualifications]
- BS/MS degree in Computer Science
- 5+ years of experience in building and operating large-scale distributed systems or applications
- Experience in Kubernetes development, Linux/Unix
- Experience in managing data lake or data warehouse
- Expertise in developing data structures, algorithms on top of Big Data platforms
- Ability to operate effectively and independently in a dynamic, fluid environment
- Ability to work in a fast-moving team environment and juggle many tasks and projects
- Eagerness to change the world in a huge way by being a self-motivated learner and builder
[Preferred qualifications]
- Experience working with ClickHouse is a big plus
- Contributing to open source projects is a huge plus (please include your github link)
- Experience working with Python, Scala/Java is a plus
- Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus
- Experience with Public Cloud like AWS or GCP is a plus
#LI-AK1
Ready to apply?
Apply to Appier
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 solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.
Responsibilities
- Design, develop, and maintain RESTful APIs using Python.
- Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
- Design and develop data pipelines using Apache Airflow and Apache Spark.
- Work closely with cross-functional teams to develop automation tools that streamline daily operations.
- Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
- Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
- Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
- Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.
About you
[Minimum qualifications]
- BS/MS degree in Computer Science
- 2+ years of experience in building and operating large-scale distributed systems or applications
- Experience in Kubernetes development, Linux/Unix
- Experience in managing data lake or data warehouse
- Expertise in developing data structures, algorithms on top of Big Data platforms
- Ability to operate effectively and independently in a dynamic, fluid environment
- Ability to work in a fast-moving team environment and juggle many tasks and projects
- Eagerness to change the world in a huge way by being a self-motivated learner and builder
[Preferred qualifications]
- Experience working with ClickHouse is a big plus
- Contributing to open source projects is a huge plus (please include your github link)
- Experience working with Python, Scala/Java is a plus
- Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus
- Experience with Public Cloud like AWS or GCP is a plus
#LI-AK1
Ready to apply?
Apply to Appier
Senior Software Engineer, Backend Development (REC)
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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
Ready to apply?
Apply to Appier
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.
Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.
The Impact You’ll Make at Appier
Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
Our engineering team has a solid technical background, which would be a great environment for a skilled engineer.
In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.
What You’ll Work On
- Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
- Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
- Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
- Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).
What We’re Looking For
- Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
- 5+ years of industry experience in ad tech, with a focus on performance optimization.
- Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
- Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
- Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).
Language
Fluent in English or Chinese.
#LI-AK1
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Apply to Appier
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.
The Impact You’ll Make at Appier
Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.
What You’ll Work On
- Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
- Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
- Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
- Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).
What We’re Looking For
- Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
- 4+ years of industry experience in ad tech, with a focus on performance optimization.
- Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
- Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
- Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).
#LI-AK1
Ready to apply?
Apply to Appier
介紹 GNTC 團隊
Dcard GNTC 團隊致力於打造企業級 AI 工作平台，讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具，更是每個團隊成員的智能助手，能夠深度整合企業資料與流程，協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台，使企業夥伴可以提升決策與洞察 、加速企劃產出 ，並且能透過 Agent 自動化處理例行任務，讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標，我們需要 Forward Deployed Engineer 加入我們，你將駐點或遠端與企業客戶深度合作，從業務需求拆解、原型設計，到雲端部署與維運，端到端交付生成式 AI 解決方案。歡迎加入這個熱愛挑戰的技術團隊，一起打造被千萬人喜愛與使用的產品！
你將在團隊參與⋯
- 基於 Dcard GNTC Agent 平台設計技術方案，並以現場 (on site) 或遠端 (remote) 的方式與企業客戶深度合作，從業務需求拆解、原型設計，到雲端部署與維運，端到端交付生成式 AI 解決方案。
- 與客戶 BU／IT 團隊進行訪談，定義 Problem Statement 與 KPI
- 負責理解用戶現行流程與痛點，並提出可行的技術解決方案。以 TypeScript（或 Python）實作 API／MCP／Agent 等 Workflow，協助用戶在其既有系統中導入與整合。
- 撰寫技術白皮書、實踐手冊 (Playbook)，回饋產品 Roadmap 與最佳實踐 (best practice)
我們期待看到一個優秀的 Forward Deployed Engineer 具備以下能力
- 3+ 年軟體開發與系統整合經驗
- 熟悉以下技術：
- Python、Golang 或 TypeScript 任一
- 理解 MCP（Model Context Protocol）規格，並具實際開發或整合經驗
- 能熟練操作 Linux（部署、自動化腳本）
- 理解基本 Networking（DNS、TCP/IP、Load Balancing、Service Mesh 更佳）
- Cloud-Native & Container（Kubernetes、Docker）
- 優秀問題拆解、客戶溝通能力，能以中英文撰寫文件並進行技術簡報
如果你擁有以下能力，那就更棒了！
- REST / gRPC API 設計
- Relational / NoSQL / Vector DB
- Prompt Engineering、Context Engineering、RAG、LLM-based Workflow Automation
- 顧問式專案或駐點交付經驗（Forward Deployed / Professional Services）
- 熟悉 ISO 27001、GDPR、SOC 2、HIPAA 等資安與合規需求
- 使用 LangChain、LlamaIndex、OpenAI Function Calling、Fine-tuning / LoRA 經驗
- ML Ops / Data Ops / Infra-as-Code 專案實戰
薪資待遇
- 面議
注意事項
- 如果團隊覺得有機會合作，一起讓 Dcard 往更高的目標邁進，我們會儘速聯絡您！
- 若不符合職位需求的面試者，將不另行通知。
- 如果尋找到合適的人選加入，職缺可能會提前關閉。
- 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
- 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境
狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。
您得以致電狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。
Ready to apply?
Apply to Dcard
Product Manager (AI x Web3 Security)
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Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Product Manager (AI x Web3 Security)
Share this job
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Ready to apply?
Apply to Hyphen Connect Limited
Machine Learning Engineer Lead, Vulcan (Global)
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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.
Ready to apply?
Apply to AIFT