Machine Learning Engineer (Platform)
ArteraFull Time
Junior (1 to 2 years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
The position is primarily remote, with hybrid options that may be available.
This information is not specified in the job description.
Key requirements include 2+ years using Weights & Biases, experience with production ML products including defining metrics and iterating improvements, stakeholder management with ML or software engineers, strong communication skills, and genuine product passion.
The company emphasizes impactful work with top-tier ML teams, continuous learning from leading researchers, an experienced founding team, and a customer-focused environment serving a growing base including OpenAI and NVIDIA.
A strong candidate will have 2+ years hands-on experience using Weights & Biases, proven track record with production ML products, skills in stakeholder management and clear communication, plus a deep passion for AI/ML products.
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.