Staff Software Engineer, Metrics - US (Remote) at Weight & Biases

San Francisco, California, United States

Weight & Biases Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries

Requirements

  • 8+ years of experience in software engineering
  • 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
  • Experience with 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)

Responsibilities

  • Design and implement infrastructure that is scalable, efficient, and tailored to customer needs
  • Lead the maintenance and monitoring of existing services, identifying and executing necessary improvements
  • Participate in team-wide rotations to respond to customer support issues and site outages
  • Communicate and collaborate effectively with internal and external stakeholders
  • Lead and mentor junior engineers, supporting their professional growth

Skills

Python
Go
TypeScript
MySQL
Postgres
ClickHouse
Bigtable
Pub/Sub
Kafka
Kubernetes
Terraform
GCP
AWS
Azure

Weight & Biases

AI platform for model development and management

About Weight & Biases

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for AI developers and machine learning teams.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$243.2MTotal Funding
LATE_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

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)

Risks

Increased competition from NVIDIA's AI orchestration tools challenges W&B's market position.
Anthropic's Claude AI model's success may divert potential customers from W&B.
Cohere's fine-tuning services could attract enterprises, impacting W&B's customer base.

Differentiation

W&B offers comprehensive AI model tracking and visualization tools for developers.
The platform supports seamless integration with NVIDIA technologies for enhanced AI deployment.
W&B's SaaS model ensures recurring revenue through long-term client subscriptions.

Upsides

Growing demand for AI model tracking tools boosts W&B's market potential.
Recognition as Google Cloud Technology Partner of the Year enhances W&B's credibility.
Participation in NAIRR pilot program promotes W&B's role in responsible AI innovation.

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