Simplify Logo

Full-Time

Senior Software Engineer

Platform Tooling, Remote

Updated on 7/9/2024

Weight & Biases

Weight & Biases

201-500 employees

MLOps platform for ML experiment management

Data & Analytics

Compensation Overview

$177k - $245kAnnually

+ Equity + Parental Leave + 401(k)

Senior, Expert

Remote in USA

Category
Backend Engineering
IT & Support
Software Engineering
Required Skills
Datadog
Kubernetes
Microsoft Azure
AWS
Go
Requirements
  • 5+ years of software development experience in an enterprise software environment
  • Proficiency in GoLang programming
  • Deep understanding of distributed systems
  • Experience with Kubernetes required
  • 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
Responsibilities
  • 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

Weights & Biases offers a developer-first MLOps platform that enables ML practitioners to track, manage, and collaborate on machine learning experiments and models. The platform supports integrations with various ML libraries and repositories, including TensorFlow, PyTorch, Keras, and XGBoost, and provides features such as experiment tracking, model lifecycle management, and hyperparameter optimization.

Company Stage

Series C

Total Funding

$250M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

2%

1 year growth

6%

2 year growth

45%

Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)