Software Engineer - ML Model Training

About the role

The successful candidate will join the fullstack W&B History team, focusing on the core visualization engine that powers experiment tracking for over 1,000 organizations and labs building AI across various domains.

Responsibilities

• Scale charting components to handle millions of data points with smooth interactivity.
• Implement new features that help AI researchers explore their data and build better models.
• Collaborate with product designers to refine the user experiences.
• Work with back-end engineers to optimize data streaming for charts.

Requirements

• Extensive experience with modern JavaScript/TypeScript and React.
• Knowledge of web-based visualization libraries.
• Demonstrated ability to measure and optimize front-end performance, especially for rendering large datasets and maintaining 60fps interactions.

Qualifications

• Curious about technical systems and eager to improve them.
• Collaborative, willing to share knowledge with the team.
• Experience with Canvas/WebGL or visualization libraries like React vis or uPlot.

Skills

• Strong problem-solving skills.
• Ability to work independently and as part of a team.
• Interest in machine learning workflows or a strong interest in the AI/ML ecosystem.

Benefits

• Medical, dental, and vision insurance - 100% paid by CoreWeave.
• Company-paid Life Insurance.
• Voluntary supplemental life insurance.
• Short and long-term disability insurance.
• Flexible Spending Account (FSA) and Health Savings Account (HSA).
• Tuition reimbursement.
• Mental wellness benefits through Spring Health.
• Family-forming support provided by Carrot.
• Paid parental leave.
• Flexible, full-service childcare support with Kinside.
• 401(k) with a generous employer match.
• Catered lunch each day in our office and data center locations.
• A casual work environment.
• A work culture focused on innovative disruption.

Pay

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

Schedule

We are currently operating a hybrid schedule with a mix of remote and in-office work options.