Role overview

Senior Machine Learning Engineer

Requirements and responsibilities

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Details

  • Builds new AI products for Calendly’s customers, bringing new capabilities to life.
  • Works closely with product, design, marketing, customer success, and engineering teams to implement AI solutions to real customer problems.
  • Drives innovation and makes an impact.
  • Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
  • Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team.
  • Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly.
  • Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward.
  • Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines.
  • Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response.
  • Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies.
  • Be a frequent user of AI Tools and champion of adoption to the rest of the company.
  • 6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI /ML applications in production.
  • Experience working on GenAI products architecture/system design and implementation.
  • Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users.
  • Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases.
  • Strong programming (Python / Scala / Java / SQL etc) and data engineering skills.
  • High level of ownership, and the ability to find a way to success.
  • You have strong verbal and written communication skills.
  • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
  • Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
  • Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
  • Tier 3: All other locations not in Tier 1 or Tier 2
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Browse stack
FocusEngineeringRole area
Seniority signalSeniorCandidate level
StackJava, Python, RESTPrimary skills
Location1 accepted countryEligibility

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