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Description:
Weights & Biases is seeking a Software Engineer for their Sweeps product, focusing on building and maintaining features for hyperparameter tuning.
The role involves working on the next generation of sweeps, enabling users to distribute hyperparameter tuning scripts across clusters and cloud infrastructure.
The engineer will also contribute to the development of Weights & Biases Launch, an execution layer on the platform.
Responsibilities include designing system architecture and APIs for users to send workflows to the cloud or local clusters.
The position emphasizes user-centric design, requiring the engineer to listen to customer feedback to deliver value.
Requirements:
Candidates must have 4+ years of experience in software engineering.
A strong foundation in software engineering principles and proficiency in at least one modern programming language (Python, Go, Typescript, GraphQL, etc.) is required.
Applicants should demonstrate empathy for ML practitioners and a keen interest in understanding their challenges.
A self-driven attitude and the ability to identify paths to create the greatest impact are essential.
Experience working with ML Engineers and building tools for easy connectivity with compute resources is a plus.
Benefits:
The company offers flexible time off to promote work-life balance.
Medical, Dental, and Vision coverage is provided for employees and their families.
Weights & Biases has a remote-first culture with options for in-office flexibility in San Francisco.
A home office budget is available, including a new high-powered laptop.
The position includes a competitive salary and equity options.
Employees are entitled to 12 weeks of parental leave (specific to the U.S.).
A 401(k) plan is available for U.S. employees.
Supplemental benefits may vary based on location, and candidates can explore benefits by country.