Senior Software Engineer, Weights & Biases

Platform Tooling

$177-245k

+ Equity

AWS
GCP
Azure
Prometheus
Golang
Datadog
Senior level
Remote in US
San Francisco Bay Area
Weights & Biases

‍MLOps platform for developers

Open for applications

Weights & Biases

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Open for applications

$177-245k

+ Equity

AWS
GCP
Azure
Prometheus
Golang
Datadog
Senior level
Remote in US
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

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

Role

Who you are

  • 5+ years of software development experience in an enterprise software environment
  • Proficiency in GoLang programming
  • Deep understanding of distributed systems
  • Knowledge of monitoring and scaling services for distributed systems (including Datadog, New Relic, Open Telemetry, Prometheus, etc)
  • Familiarity with at least one major cloud provider (AWS, Azure, Google)
  • Active collaboration with team members to align and achieve departmental goals

What the job involves

  • The Software Engineer for Platform Tooling will report to the Enterprise Engineering Manager. This person will be responsible for setting up and maintaining infrastructure standards
  • In addition, this role will play a pivotal role in tool development both externally and internally. You'll help make it possible to deploy our software to our enterprise customers, establishing a strong foundation of technical excellence for our diversified customer base
  • This role will also establish firm partnerships with our enterprise customers, which will boost customer satisfaction and lead to more comprehensive solutions
  • The Platform Tooling team manages the variances in infrastructure types and implementing suitable solutions that cater to the unique needs of each enterprise customer
  • You will leverage your skills, knowledge, and adaptability to navigate this complex landscape, consistently providing high-quality solutions to our customers
  • Set up and maintain infrastructure standards to ensure stable and smooth operations, supporting efficient functioning and laying the groundwork for meaningful improvements over time
  • Develop tools for both external and internal purposes. This involves building mechanisms to deploy our software to enterprise customers effectively, fostering a foundation of technical excellence
  • Troubleshoot and resolve issues related to operating Weights & Biases across different types of infrastructure
  • Understand the nuances of various infrastructure types and implement suitable solutions catering to the unique needs of each enterprise customer
  • Leverage technical skills, knowledge, and adaptability to effectively navigate the complex landscape of different infrastructures

Our take

Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its 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 at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. 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 enterpise companies like Samsung and Salesforce.

The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

31% employee growth in 12 months

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
  • πŸ’΅ $500 home office budget with new high-powered laptop
  • πŸ₯‡ Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave
  • πŸ“ˆ 401(k)

Company values

  • We're building a culture where people love coming to work to build cool things and collaborate with other smart people
  • It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
  • We love to work with people who are driven, kind and proactive
  • We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
  • We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment

Company HQ

SoMa, San Francisco, CA

Leadership

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

Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).

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

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