Company profile

Weights & Biases Tech Stack

AI developer platform for model training tracking and LLM app evaluation

Software Development San Francisco, California 201–500 employees Founded 2017 Privately Held

Weights & Biases builds MLOps and LLMOps tooling on a Go, Python and TypeScript stack running Kubernetes across GCP, AWS, Azure and CoreWeave, with ClickHouse for analytics. Adoption of gRPC, GraphQL and Helm alongside load-testing tools like Locust, Gatling and k6 points to a backend being hardened for very high event and artifact volumes. Hiring is accelerating, engineering-heavy and skewed senior, while Weave and LLM-judge projects show the bet on GenAI evaluation.

Tech Stack 81 technologies

Core StackReact TypeScript JavaScript Go Python Kubernetes Terraform ClickHouse CircleCI ArgoCD AWS Prometheus Grafana OpenTelemetry Datadog CoreWeave Protocol Buffers OpenAPI Argo Rollouts GCP Azure Codex Weave Locust Gatling k6 GCS WebGL Keras TensorBoard+50 more

AdoptingGraphQL gRPC Terraform Helm

What Weights & Biases Is BuildingChallenges and projects from their job posts

◆Challenges

Winning enterprise logos and complex multi-product contracts
Scaling backend for low-latency, high-volume event throughput
Scaling storage to billions of artifacts
Data warehouse performance bottlenecks
Meeting support SLAs and preventing repeat issues

▲Active Projects

Weave platform development
LLM judge playground build
Agent harness integration
Migrating live customer traffic systems
Extending registry for model promotion
Unifying compute and experimentation experience

Hiring Activity

Accelerating55 roles · 50 in 30d

Department

Engineering

Sales

Support

Data

Ops

Product

Marketing

Design

Seniority

Senior

Manager

Staff

Mid

Director

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About Weights & Biases

Weights & Biases is a San Francisco-based, privately held company founded in 2017 with 201–500 employees. It offers an AI developer platform with two main products: W&B Models, an MLOps system for teams training, fine-tuning and deploying models, and W&B Weave, an LLMOps toolset for tracking and evaluating LLM applications. Its customers range from foundation model builders to enterprises and software developers. The company hires across the United States, United Kingdom, Canada, South Korea and Japan.

HeadquartersSan Francisco, California

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States, United Kingdom, Canada, South Korea, Japan

Frequently Asked Questions

What tech stack does Weights & Biases use?

Its stack includes Go, Python, TypeScript, React, Kubernetes, Terraform, ClickHouse, ArgoCD and CircleCI, running on GCP, AWS, Azure and CoreWeave, with Prometheus, Grafana, OpenTelemetry and Datadog for observability.

What is Weights & Biases working on?

Current work centers on the Weave platform, an LLM judge playground, agent harness integration, migrating live customer traffic systems, and extending the registry for model promotion.

What countries does Weights & Biases hire in?

Weights & Biases hires in the United States, United Kingdom, Canada, South Korea and Japan, with hiring weighted toward senior engineering roles.

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How this profile is built

Weights & Biases's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.