Customer Support Engineer, Weights & Biases

Machine Learning

$81-111k

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Tensorflow
Azure
PyTorch
Keras
Junior and Mid level
Remote in US
San Francisco Bay Area
Weights & Biases

‍MLOps platform for developers

Open for applications

Weights & Biases

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Open for applications

$81-111k

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Tensorflow
Azure
PyTorch
Keras
Junior and Mid level
Remote in US
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

Weights & Biases's mission is to build the best tools for machine learning.

Role

Who you are

  • 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects
  • Python expert
  • 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

Desirable

  • Have worked in a small-stage startup previously
  • 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

What the job involves

  • 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.
  • In this role, you will act as the face of the company and the first line of support in North American Time Zones. 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
  • 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 W&B product features and build up knowledge base to resolve issues on your own

Our take

Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.

The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.

The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.

Steph headshot

Steph

Company Specialist

Insights

Strong hiring activity
Top investors

Few candidates hear
back within 2 weeks

31% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Aug 2023

$50m

LATE VC

Oct 2021

$135m

SERIES C

Total funding: $250m

Company benefits

  • 🏝️ Unlimited vacation time
  • 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • πŸ’΅ $500 home office budget with new high-powered laptop
  • πŸ₯‡ Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave
  • πŸ“ˆ 401(k)

Company values

  • We're building a culture where people love coming to work to build cool things and collaborate with other smart people
  • It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
  • We love to work with people who are driven, kind and proactive
  • We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
  • We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment

Company HQ

SoMa, San Francisco, CA

Leadership

Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).

Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).

Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.

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