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Director of Engineering, Platform - Weights & Biases
Director of Engineering, Platform - Weights & BiasesCoreWeave • San Francisco, CA, US
Director of Engineering, Platform - Weights & Biases

Director of Engineering, Platform - Weights & Biases

CoreWeave • San Francisco, CA, US
3 days ago
Job type
  • Permanent
Job description

Director of Engineering, Platform – Weights & Biases

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform for developing, deploying, and iterating AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers across the US and Europe and was ranked as one of the TIME100 most influential companies of 2024. By combining CoreWeave's cloud infrastructure with the best-in-class AI tools from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled.

Our integration accelerates a shared mission : to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we're serving the full AI lifecycle—all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations—including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve—to build better models, AI agents, and applications. As part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

We're looking for bold thinkers and agile builders excited to shape the future of AI. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, now is the time to join our team.

About the Role

Our Platform Engineering organization powers the model-training infrastructure that enables ML practitioners to build, train, and scale cutting-edge models. As Director of Engineering, Platform, you'll lead multiple mission-critical teams :

The Metrics Team : builds high-performance APIs to ingest and query training metrics, logs, files, and artifacts central to model development.

The Identity Team : secures the platform through authentication, authorization, and audit capabilities critical to enterprise-grade ML workflows.

The SDK Team : provides scalable, portable, and developer-friendly client libraries to integrate seamlessly into training pipelines and ML stacks.

The Billing Engineering Team : ensures accurate usage metering, entitlement enforcement, and seamless integration with pricing and payment systems.

Your work will enable product and ML infrastructure teams to move faster while ensuring reliability, scalability, and security across all platform layers.

Who You Are

This high-impact leadership role focuses on scaling the core services that power Weights & Biases' model-training platform. You'll drive strategy and execution across four cross-functional engineering teams, partnering closely with product, infrastructure, and customer-facing teams. You will influence architectural direction, evolve the developer experience, and ensure the underlying systems that support model tracking, identity, and monetization scale with our user base—from individual practitioners to Fortune 500 ML teams.

10+ years of experience in software engineering, with 3+ years in a senior engineering leadership role

Experience building and leading teams focused on platform engineering, infrastructure, or backend systems in a cloud-native SaaS environment

Deep technical expertise in building scalable APIs, SDKs, or core services used in production environments

Strong understanding of model-training workflows or ML infrastructure and how platform engineering supports ML velocity

Familiarity with authentication protocols (e.g., OIDC, OAuth2), identity architecture, and audit requirements for enterprise security

Experience designing metering systems, entitlement enforcement, and billing infrastructure

Track record of hiring and mentoring senior engineers and engineering managers across diverse technical domains

Preferred (if applicable)

Prior experience at a company delivering ML platforms or developer tools

Familiarity with ML training frameworks (e.g., PyTorch, TensorFlow) and their integration needs

Experience with platform reliability, observability, and developer tooling for high-scale systems

Knowledge of billing systems such as Stripe or usage-based pricing infrastructure

Exposure to enterprise compliance frameworks like SOC2, GDPR, or ISO 27001

Why Us

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. We welcome a little chaos, constantly learn, and value how we build our product and work together. Our core values are :

Be Curious at Your Core

Act Like an Owner

Empower Employees

Deliver Best-in-Class Client Experiences

Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, fostering an environment that encourages collaboration and offers opportunities to develop innovative solutions to complex problems. Growth opportunities within the organization are constantly expanding. You'll be surrounded by top talent who will want to learn from you, too. Join us!

Compensation

The base salary range is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

In addition to a competitive salary, we offer a variety of benefits to support your needs :

Medical, dental, and vision insurance – 100% paid for by CoreWeave

Company-paid Life Insurance

Voluntary supplemental life insurance

Short and long-term disability insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Participation in Employee Stock Purchase Program (ESPP)

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

Flexible PTO

Catered lunch each day in our office and data-center locations

A casual work environment

Work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within the first month. Teams also gather quarterly to support collaboration.

Legal and Compliance

California applicants only.

CoreWeave is an equal-opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

In accordance with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact : careers@coreweave.com.

Export Control Compliance

This position requires access to export-controlled information. To comply with U.S. Government export regulations, applicants must either be : (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158; (B) eligible to access the export-controlled information without a required export authorization; or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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Director Of Engineering • San Francisco, CA, US

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