Jobs · Information Technology · New York

Technical Support Engineer II - W&B

Weights & Biases · New York, NY · 3 wk ago
Information Technology$99k–$132k/yrFull-time

About the role

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.

Responsibilities

  • 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

Requirements

We are looking for someone with 2+ years of programming experience, Python proficiency, and experience using ML frameworks like Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib, etc. A passion for connecting with real users and enabling them to be power users of the product is also important. Good organization of assigned requests to oversee timely follow-up for every message, work autonomously in a self-directed environment, and proactively find ways to improve processes and collaborate internally are key qualities.

Qualifications

  • Absolutely love solving complex problems at the intersection of software, hardware, and AI
  • Have a strong interest in machine learning
  • Have previous experience in machine learning
  • Have customer service experience in a technical SaaS environment
  • Have experience in frontend frameworks
  • Have experience with Docker, AWS, GCP, Azure
  • Have experience with Kubernetes or other cloud infrastructures

Skills

  • Technical skills
  • Kind, thoughtful tone in communication

Benefits

  • Base salary range: $99,000 to $132,000
  • Total rewards package including discretionary bonus, equity awards, and comprehensive benefits
  • Medical, dental, and vision insurance
  • Life insurance
  • Disability insurance
  • Flexible spending account
  • Health savings account
  • Tuition reimbursement
  • Employee stock purchase program
  • Mental wellness benefits
  • Paid parental leave
  • Flexible PTO
  • Catered lunch
  • Work environment
  • Work culture focused on innovation

Pay

The base salary range for this role is $99,000 to $132,000. 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.

Schedule

Our team works in a flexible schedule to accommodate the needs of our global user base.

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