Remote Software Engineer, Sweeps - US (Remote)

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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.
About the job
Posted on
Job type
Salary
$ 146,000 - 203,000 USD / year
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