Union.ai

Support Engineer - Taiwan

Taiwan

$70,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Cloud Computing, Software DevelopmentIndustries

Requirements

Candidates should have a minimum of 3 years of experience in Data or Software Engineering, with a solid understanding of public cloud technologies, containers, and ML/data infrastructure. Strong Python programming skills are essential, and Go experience is a plus. A customer-centric approach and experience supporting both SMB and enterprise customers with infrastructure products are required. Familiarity with data processing, ML systems, MLOps, and Machine Learning infrastructure components is also necessary. Experience with or strong interest in the latest trends in machine learning and data orchestration fields is expected, along with excellent written and verbal communication skills.

Responsibilities

The Support Engineer will resolve, triage, and escalate customer workflow issues by diagnosing platform/infrastructure versus user code problems. They will drive retention and adoption by understanding customer business objectives and technical solutions, and partner with Engineering, Product, and Sales to represent the voice of the customer. Responsibilities include collaborating with the Documentation team to create customer-facing materials, representing customer needs in product design discussions, and educating technical users on Union products. The role also involves meeting support KPIs and SLAs, and maintaining communication with customers regarding their adoption trends and sentiment.

Skills

AI infrastructure
data orchestration
AI orchestration
debugging
troubleshooting
infrastructure stack
technical operations
open-source
customer support
platform issues
workflow issues
customer retention
customer adoption
documentation
technical solutions

Union.ai

Managed platform for ML and data orchestration

About Union.ai

Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.

Bellevue, WashingtonHeadquarters
2021Year Founded
$28.3MTotal Funding
SERIES_ACompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees

Risks

Increased competition from platforms like Apache Airflow and Prefect.
Potential over-reliance on partnerships may limit flexibility and innovation.
Emerging AI regulations could impose additional compliance costs and challenges.

Differentiation

Union.ai's Flyte platform handles workflows with over 10,000 CPUs, showcasing scalability.
Union Cloud abstracts infrastructure, allowing ML engineers to focus on core tasks.
Flyte's open-source origin from Lyft ensures community-driven innovation and adoption.

Upsides

Collaboration with NVIDIA Inception enhances Flyte's capabilities and performance.
AI toolkit market growth aligns with Union.ai's focus on ML orchestration.
$19.1M Series A funding supports Union Cloud expansion and customer reach.

Land your dream remote job 3x faster with AI