Machine Learning Engineer (Platform)
ArteraFull Time
Junior (1 to 2 years)
San Francisco, California, United States
Candidates must have at least two years of experience utilizing Weights & Biases, demonstrating a deep understanding of the product. They should possess experience taking technical products to production, defining success metrics, and iterating for performance improvements. Furthermore, candidates are expected to have experience managing or influencing machine learning engineers, software engineers, or other stakeholders, along with strong communication and organizational skills, and a genuine interest in the products being used.
This Staff Product Manager will rapidly identify and ship improvements to W&B’s core experience, engage with advanced customers to understand their workflows, research and define the future of experiment tracking, pretraining, and fine-tuning workflows to guide product strategy, analyze interviews, usage data, and market behavior to prioritize product opportunities, and communicate product updates to the market to drive adoption and discovery.
AI platform for model development and management
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 AI developers and machine learning teams.