Technical Support Engineer II - W&B

Weights & Biases

Singapore

On-site

SGD 60,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Discretionary bonus
Equity awards
Benefits program

Job summary

CoreWeave seeks a detail-oriented customer support engineer to assist users of the AI platform. You will handle technical inquiries, troubleshoot issues, and help translate user feedback into product improvements. The role emphasizes fast, accurate responses and collaboration with engineering and product teams.

Candidates should have 2+ years programming experience, strong Python, and familiarity with ML frameworks. Docker, cloud platforms, and Kubernetes experience are a plus.

Qualifications

  • 2+ programming experience in engineering, computer science, or personal projects.
  • Proficiency in Python.
  • Experience with ML frameworks: Keras, TensorFlow, PyTorch.
  • Interest in customer-facing ML tooling and problem solving.

Responsibilities

  • Respond to inbound support requests via email, live chat, and forums to meet SLAs.
  • Triage bugs and requests by type and severity.
  • Track responses to ensure timely follow-up and maintain fast resolution times.
  • Collaborate with engineering/product teams to troubleshoot issues and provide user feedback.
  • Identify patterns to improve documentation and user support processes.
  • Participate in a 24/7 on-call rotation for weekend coverage.

Skills

Python
Machine Learning

Education

Computer Science degree or equivalent

Tools

Docker
AWS
GCP
Azure
Kubernetes

Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do

Support is a deep part of our culture here at Weights And Biases by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you.

About The Role
  • Quickly respond to all inbound support requests, including email, live chat, and community forums
  • Triage bugs and requests based on customer type and severity of issue
  • Track inbound and outbound responses to ensure contact SLAs are being met
  • Maintain a fast response time for entire user base
  • Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features
  • Recognize trends in user messages to help identify areas of improvement in internal or external documentation
  • Learn Weights & Biases’ product features and build up knowledge base to resolve issues on your own
  • Participate in a 24/7 on-call rotation to provide support during weekends
Who You Are
  • 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects
  • Python proficiency
  • Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools
  • A passion for connecting with real users and enabling them to be power users of the product
  • Good organization of assigned requests to oversee timely follow-up for every message
  • Work autonomously in a self-directed environment
  • Proactively find ways to improve processes and collaborate internally
  • Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team
  • Interest in machine learning
Preferred
  • Previous experience in machine learning
  • Customer service experience in a technical SaaS environment
  • Experience in frontend frameworks
  • Experience with Docker, AWS, GCP, Azure
  • Experience with Kubernetes or other cloud infrastructures
Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why Us?
About

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is SGD$xxx to SGD$xxx. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

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