Customer Support Engineer, Machine Learning - US (Remote)

August 16

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Logo of Weights & Biases

Weights & Biases

Developer-first MLOps platform.

deep learning • developer tools • machine learning • MLOps

51 - 200

💰 Corporate Round on 2022-05

Description

• 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

Requirements

• 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

Benefits

• 🏝️ Flexible time off • 🩺 Medical, Dental, and Vision for employees and Family Coverage • 🏠 Remote first culture with in-office flexibility in San Francisco • 💵 Home office budget with a new high-powered laptop • 🥇 Truly competitive salary and equity • 🚼 12 weeks of Parental leave (U.S. specific) • 📈 401(k) (U.S. specific) • Supplemental benefits may be available depending on your location • Explore benefits by country

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