Remote Engineering Manager, Data And ML

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BenchSci

πŸ“Remote - Canada

Job highlights

Summary

Join BenchSci's growing Data and ML team as an Engineering Manager, reporting to the Director of Engineering, Data, and Machine Learning. Lead a team of engineers in designing, developing, and deploying cutting-edge data and machine learning solutions. Your expertise in event-driven data pipelines and online inference will be crucial. Mentor and develop your team, fostering a high-performance culture. Contribute code when needed and ensure successful delivery of business objectives. Adaptability is key, navigating ambiguity and knowing when to be hands-on or provide direction. This role offers a remote-first culture and a comprehensive benefits package.

Requirements

  • 4+ years working as a professional developer
  • 2+ years working as an engineering team manager
  • Experience hiring and building motivated engineering teams
  • Strong experience with Python and programming fundamentals
  • Experience working with Data Solutions incorporating online and batch ML inference
  • Experience with data engineering and machine learning design patterns and best practices
  • Experience shipping machine learning into distributed, data-intensive production systems
  • Strong cross-team communication and collaboration skills
  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
  • Experience working in a Cloud native environment (Azure, GCP or AWS)

Responsibilities

  • Lead a team of talented engineers in the design, development, and deployment of cutting-edge data and machine learning solutions
  • Guide your team through the entire development lifecycle, from discovery and solution design to implementation and deployment
  • Mentor and develop your team, fostering a high-performance culture
  • Contribute code when needed
  • Be accountable for the successful delivery of business objectives, ensuring your team's work directly contributes to the advancement of BenchSci's mission and the success of the scientists who rely on us

Preferred Qualifications

  • Deep experience with NLP and/or Vision ML solutions including language and/or multimodal models
  • A background in Life Science
  • Work experience at companies during rapid growth stages
  • Experience working with GCP, specifically including Vertex AI, Dataflow, BigQuery, and GKE

Benefits

  • An engaging remote-first culture
  • A great compensation package that includes BenchSci equity options
  • A robust vacation policy plus an additional vacation day every year
  • Company closures for 14 more days throughout the year
  • Flex time for sick days, personal days, and religious holidays
  • Comprehensive health and dental benefits
  • Annual learning & development budget
  • A one-time home office set-up budget to use upon joining BenchSci
  • An annual lifestyle spending account allowance
  • Generous parental leave benefits with a top-up plan or paid time off options
  • The ability to save for your retirement coupled with a company match!

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