Site Reliability Engineer, Weights & Biases

Salary not provided

SQL

AWS

Kubernetes

TypeScript

GCP

Python

Terraform

Jenkins

Ansible

Saltstack

MySQL

Azure

Junior, Mid and Senior level

San Francisco Bay Area

Remote from US

‍MLOps platform for developers

Job no longer available

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Job no longer available

Salary not provided

SQL

AWS

Kubernetes

TypeScript

GCP

Python

Terraform

Jenkins

Ansible

Saltstack

MySQL

Azure

Junior, Mid and Senior level

San Francisco Bay Area

Remote from US

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

Weights & Biases's mission is to build the best tools for machine learning.

Job

Company

Role

Who you are

Experience managing, monitoring, and debugging large-scale distributed systems in production
In-depth knowledge of at least one cloud provider (AWS, GCP, Azure, VMWare, etc)
Strong grasp of at least one higher-level language and its ecosystem (Go, Python, TypeScript, etc.)
Deep understanding of IaC concepts and tools (Terraform, SaltStack, Ansible, etc)
Experience with containerized deployment systems such as Kubernetes
Familiarity with CI/CD tools (Jenkins, GitHub Actions, FluxCD, Argo, etc)
Experience with monitoring and scaling production SQL databases (MySQL / PostgreSQL preferred)

What the job involves

The Site Reliability teams at Weights & Biases are responsible for ensuring that our high-volume, low-latency environments continue to perform around the clock
These teams collaborate closely with our product engineers to ensure that Weights & Biases can manage millions of requests, ensuring our customers always have dependable and actionable data at their fingertips
You’ll be responsible for shaping the infrastructure of our data-intensive, real-time services as we continue to grow at petabyte scale
Keep our services reliable, available, fast and cost-efficient
Respond to, investigate and fix service issues, whether they are deep in the OS kernel or in the application code
Build tools and production frameworks to make our engineering team’s lives easier
Design, build and maintain the infrastructure we need to support orders of magnitude more customers

Our take

Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. For deep learning to work, companies must be able to monitor how models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.

The company has also launched a product to help different parties collaborate on machine learning models. This is geared towards researchers, reducing the need to rerun their training examples. Over time, this will help machine learning technology evolve. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterprise companies like Samsung and Salesforce.

Dependence on machine learning is rising as more businesses use it to handle business tasks. Having raised substantial funding, W&B is moving to further develop its product, grow its team and increase its marketing reach.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 5 rounds)

Aug 2023

$50m

LATE VC

Oct 2021

$135m

SERIES C

Total funding: $250m

Company benefits

🏝️ Unlimited vacation time
🩺 100% Medical, Dental, and Vision for employees and Family Coverage
🏠 Remote first culture with in-office flexibility in San Francisco
💵 $500 home office budget with new high-powered laptop
🥇 Truly competitive salary and equity
🚼 12 weeks of Parental leave
📈 401(k)

Company HQ

Mission District, San Francisco, CA

Leadership

Chris Van Pelt

(Co-Founder & CISO)

Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).

Shawn Lewis

(Co-Founder & CTO)

Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.

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