Full-Time
Software Engineer
Engineering Productivity, Remote
Confirmed live in the last 24 hours
Weight & Biases
201-500 employees
AI platform for model development and management
Compensation Overview
$177k - $245kAnnually
Mid, Senior
Remote in USA
- A degree in Computer Science, or equivalent experience/qualification.
- 4+ years of experience in software engineering, including at least 1 year of experience building tools for developers.
- Strong empathy for developers with a keen interest in understanding and addressing their challenges.
- A self-driven attitude with a desire to find the path to greatest impact.
- Strong interest in new technologies and a passion for staying abreast of the latest advancements in developer tools.
- Excellent communication and collaboration skills.
- Experience with Go and git/github
- Conduct user research with engineers to understand their needs and develop the roadmap for internal tools and systems.
- Improve build safety and speed by optimizing existing build processes and implementing new tools and methodologies.
- Ensure the reliability and availability of our Continuous Integration and build pipelines.
- Develop and maintain solutions for both local and remote development environments.
- Design and implement new tools for production and development deployments.
- Leverage GenAI tools to enhance the engineering workflow, automating repetitive tasks and improving efficiency.
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
6 month growth
↓ -3%1 year growth
↓ -1%2 year growth
↑ 22%
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.
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)