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Full-Time

Senior Software Engineer

Platform Tooling, US, Remote

Confirmed live in the last 24 hours

Weight & Biases

Weight & Biases

201-500 employees

AI platform for model development and management

Enterprise Software
AI & Machine Learning

Compensation Overview

$177k - $245kAnnually

Senior

Remote in USA

Category
Backend Engineering
Software Engineering
Required Skills
Datadog
Kubernetes
Microsoft Azure
AWS
Go
Prometheus
Requirements
  • 5+ years of software development experience in an enterprise software environment
  • Proficiency in GoLang programming.
  • Deep understanding of distributed systems.
  • Experience with Kubernetes required
  • Knowledge of monitoring and scaling services for distributed systems (including Datadog, New Relic, Open Telemetry, Prometheus, etc)
  • Familiarity with at least one major cloud provider (AWS, Azure, Google).
  • Active collaboration with team members to align and achieve departmental goals.
Responsibilities
  • Set up and maintain infrastructure standards to ensure stable and smooth operations, supporting efficient functioning and laying the groundwork for meaningful improvements over time.
  • Develop tools for both external and internal purposes. This involves building mechanisms to deploy our software to enterprise customers effectively, fostering a foundation of technical excellence.
  • Troubleshoot and resolve issues related to operating Weights & Biases across different types of infrastructure
  • Understand the nuances of various infrastructure types and implement suitable solutions catering to the unique needs of each enterprise customer
  • Leverage technical skills, knowledge, and adaptability to effectively navigate the complex landscape of different infrastructures

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for leading ML teams.

Company Stage

Series C

Total Funding

$250M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

15%
Simplify Jobs

Simplify's Take

What believers are saying

  • Winning the Google Cloud Technology Partner of the Year Award for Generative AI underscores W&B's industry leadership and potential for continued growth.
  • Partnerships with industry giants like NVIDIA and participation in initiatives like the NAIRR pilot program highlight W&B's influence and commitment to advancing AI research and applications.
  • The platform's ability to support scalable and customizable AI applications makes it highly attractive to enterprises looking to deploy domain-specific AI solutions.

What critics are saying

  • The rapidly evolving AI and ML landscape requires W&B to continuously innovate to stay ahead of competitors.
  • Dependence on partnerships with major tech companies like NVIDIA and Google Cloud could pose risks if these relationships were to change or end.

What makes Weight & Biases unique

  • Weights & Biases offers a comprehensive suite of tools for AI and ML developers, including experiment tracking, workflow management, and model performance evaluation, which sets it apart from competitors who may focus on narrower aspects of the development process.
  • The platform's integration with leading technologies like NVIDIA NIM and Google Cloud enhances its appeal by providing seamless access to high-performance computing resources and advanced AI capabilities.
  • W&B's SaaS model ensures recurring revenue and long-term client engagement, unlike one-time purchase models that may not foster ongoing customer relationships.

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Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)