About the role
What You’ll Do:
As a Senior Engineering Manager for the W&B Inference team, you will lead the group responsible for productizing and operating our inference offering. In partnership with CoreWeave AI platform team, you will ensure the service becomes a polished, reliable, developer-friendly product within the W&B platform.
You will guide engineers working on areas such as service reliability, observability, operational excellence, packaging, developer-facing tooling, and application-layer enhancements. You will partner closely with Product, CoreWeave engineering teams, Design, Support, and GTM stakeholders to ensure the inference experience meets the needs of practitioners deploying and scaling real-world AI workloads. Your work will directly support end-users, as well as other products powered by this service, like W&B Training.
You will combine strong engineering leadership with clarity in execution, helping the team deliver improvements that raise reliability, accelerate development workflows, and strengthen the overall inference experience for W&B users.
Responsibilities02Aplyr's read
Weights & Biases is a hub for AI enthusiasts, offering cutting-edge tools for seamless machine learning development and collaboration.
What's promising
- •Strong focus on enhancing productivity for machine learning practitioners.
- •Offers comprehensive tools for experiment tracking and model optimization.
- •Highly valued by data scientists for improving workflow efficiency.
What to watch
- •Limited public information about company culture and work-life balance.
- •Potentially high pressure due to rapid AI industry changes.
- •Niche focus may limit appeal to broader tech professionals.
Why Weights & Biases
- •Specializes in tools specifically designed for machine learning workflows.
- •Emphasizes collaboration among data scientists and engineers.
- •Provides a platform that integrates seamlessly with popular ML frameworks.
Aplyr’s read is generated by AI from public sources. Was it useful?
03About Weights & Biases
Weights & Biases is a leading platform for machine learning practitioners, providing tools for experiment tracking, model optimization, and collaboration. Their solutions empower data scientists and engineers to streamline their workflows and improve productivity in developing AI models.
04Similar roles

Data Platform and Engineering Manager, SEAA
Chanel

Senior Engineering Lead, Big Data Engineering & Regulatory Platforms
Citigroup

Industry Solutions Engineering (ISE) Multidisciplinary Manager/ Data Science
Microsoft

Software Engineer Manager - Data Engineering, EDW (Remote)
Home Depot

Principal SWE Manager - Data Engineering GitHub
Microsoft

Engineering Manager - Data Partner Experience
Plaid
Aplyr's read
Weights & Biases is a hub for AI enthusiasts, offering cutting-edge tools for seamless machine learning development and collaboration.
What's promising
- •Strong focus on enhancing productivity for machine learning practitioners.
- •Offers comprehensive tools for experiment tracking and model optimization.
- •Highly valued by data scientists for improving workflow efficiency.
What to watch
- •Limited public information about company culture and work-life balance.
- •Potentially high pressure due to rapid AI industry changes.
- •Niche focus may limit appeal to broader tech professionals.
Why Weights & Biases
- •Specializes in tools specifically designed for machine learning workflows.
- •Emphasizes collaboration among data scientists and engineers.
- •Provides a platform that integrates seamlessly with popular ML frameworks.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Weights & Biases
Weights & Biases is a leading platform for machine learning practitioners, providing tools for experiment tracking, model optimization, and collaboration. Their solutions empower data scientists and engineers to streamline their workflows and improve productivity in developing AI models.
Similar roles
Data Platform and Engineering Manager, SEAA
Chanel
Senior Engineering Lead, Big Data Engineering & Regulatory Platforms
Citigroup
Industry Solutions Engineering (ISE) Multidisciplinary Manager/ Data Science
Microsoft
Software Engineer Manager - Data Engineering, EDW (Remote)
Home Depot
Principal SWE Manager - Data Engineering GitHub
Microsoft
Engineering Manager - Data Partner Experience
Plaid