About Appier
AI solutions for smarter business decisions
Key Highlights
- Headquartered in Taipei City, Taiwan
- Over 1,000 clients including Toyota and Uniqlo
- $80 million raised in funding
- AI products like AIX and CrossX
Appier, headquartered in Taipei City, Taiwan, leverages Artificial Intelligence to provide data-driven marketing solutions for businesses. With over 1,000 clients across Asia, including major brands like Toyota and Uniqlo, Appier has raised $80 million in funding and is recognized for its AI-powered...
🎁 Benefits
Employees enjoy competitive salaries, stock options, flexible working hours, and generous PTO policies, including parental leave and remote work optio...
🌟 Culture
Appier fosters a culture of innovation and collaboration, emphasizing data-driven decision-making and a commitment to leveraging AI for impactful solu...
Skills & Technologies
Overview
Appier is hiring a Staff/Senior Machine Learning Engineer to architect and scale their Machine Learning Platform. You'll work with technologies like Spark, Flink, and Kubernetes to process billions of records daily. This role requires deep expertise in ML pipelines and distributed systems.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying scalable ML systems. Your expertise includes architecting robust ML pipelines using technologies like Spark and Flink, and you have a proven track record of managing high-throughput data infrastructure. You are familiar with Kubernetes and have experience with orchestration tools such as Argo Workflows. Your understanding of distributed job execution in production environments is deep, and you are comfortable applying LLM-based tools to enhance engineering productivity.
You possess strong ownership and architectural thinking skills, allowing you to lead cross-functional platform projects effectively. Your ability to communicate complex technical concepts to both technical and non-technical stakeholders is a key strength. You thrive in collaborative environments and are passionate about leveraging AI to drive business decisions.
What you'll do
In this role, you will architect, implement, and scale batch and streaming pipelines that process billions of records daily for ML training and evaluation. You will design and operate robust ML job execution frameworks for training, inference, and post-processing, ensuring the platform remains developer-friendly and scalable. You will build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes, utilizing Argo Workflows, Helm, and Terraform.
You will champion best practices in ML development and advocate for modern development tools, including LLM-based programming assistants. Your contributions will directly impact the efficiency and effectiveness of the Machine Learning Platform, enabling the team to deliver high-quality AI solutions to clients. You will collaborate closely with data scientists and other engineers to ensure seamless integration of ML models into production environments.
What we offer
At Appier, you will be part of a mission-driven company that is democratizing AI and turning it into ROI for businesses. We offer a dynamic work environment where innovation is encouraged, and your contributions will have a significant impact on our clients' success. You will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in the AI space. We value diversity and encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of AI-driven business solutions.
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