Weights & Biases is a platform that provides tools and solutions for machine learning operations (MLOps) and the development of AI applications. The company offers a range of features including experiment tracking, hyperparameter optimization, model registry, automation, and data visualization to help teams manage their machine learning workflows more efficiently. Weights & Biases is designed to assist with the development and debugging of large language models (LLMs) and supports applications in various fields such as autonomous vehicles, healthcare, financial services, and scientific research. The platform facilitates collaboration and enhances productivity by allowing users to log experiments, share models, and visualize data across teams.
deep learning • developer tools • machine learning • MLOps
51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
💰 Corporate Round on 2022-05
April 2
🏄 California – Remote
💵 $210k - $290k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Kafka
Kubernetes
MySQL
Postgres
Python
Terraform
TypeScript
Go
Weights & Biases is a platform that provides tools and solutions for machine learning operations (MLOps) and the development of AI applications. The company offers a range of features including experiment tracking, hyperparameter optimization, model registry, automation, and data visualization to help teams manage their machine learning workflows more efficiently. Weights & Biases is designed to assist with the development and debugging of large language models (LLMs) and supports applications in various fields such as autonomous vehicles, healthcare, financial services, and scientific research. The platform facilitates collaboration and enhances productivity by allowing users to log experiments, share models, and visualize data across teams.
deep learning • developer tools • machine learning • MLOps
51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
💰 Corporate Round on 2022-05
• At Weights & Biases, our mission is to build the best tools for AI developers. • We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. • Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. • Weights & Biases is a Series C company with $250M in funding and over 200 employees. • We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. • As a Staff Engineer, you'll lead the effort to scale our metrics and storage systems, ensuring they meet the complex demands of our most advanced customers. • You’ll play an instrumental role in the evolution of our platform as we grow our capability to ingest and query petabytes of data, making critical technical decisions that optimize the performance, reliability, and cost-effectiveness of our systems. • You will set the technical direction for the team, guiding the organization to balance short-term deliverables with strategic, long-term architectural improvements. • You'll partner closely with product management, revenue teams, and other engineering groups to shape and deliver the future of W&B’s flagship Models product, supporting experiment tracking and analytics utilized by over 2,500 leading machine learning and AI teams worldwide.
• 8+ years of experience in software engineering, with a focus on data platforms and/or distributed systems. • Strong software engineering fundamentals and proficiency in at least one modern programming language (e.g., Python, Go, Typescript). • Extensive experience designing and scaling customer-facing APIs in production environments, ideally leveraging systems like MySQL, Postgres, Clickhouse, Bigtable, Pub/Sub, Kafka, etc. • Hands-on experience with Kubernetes, Terraform, and major cloud providers (e.g., GCP, AWS, Azure).
• Flexible time off • Medical, Dental, and Vision for employees and Family Coverage • Remote first culture with in-office flexibility in San Francisco • Home office budget with a new high-powered laptop • Truly competitive salary and equity • 12 weeks of Parental leave (U.S. specific) • 401(k) (U.S. specific) • Supplemental benefits may be available depending on your location • Explore benefits by country
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