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CalendlyCalendlyUnited States

Senior Machine Learning Engineer

Build and operate AI-powered features end-to-end for Calendly customers, from design through deployment. Requires 6+ years applied AI/ML experience, GenAI architecture skills, and strong programming in Python/Scala/Java/SQL.

198k – 288k
Remote6+ YOEML Engineering

About the role

What you'll do

  • 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 deployment pipelines, including build, test, and release steps for ML services and data pipelines.
  • Use 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.

What we need from you

  • 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.
  • Strong verbal and written communication skills.
  • Authorized to work lawfully in the United States of America.

Compensation & Benefits

  • Base salary ranges: Tier 1 $237,630–$287,952; Tier 2 $217,828–$263,956; Tier 3 $198,025–$239,960.
  • Top Performer Bonus program, equity awards, and competitive benefits.
  • Full-time (30 hours/week) eligibility for benefits.

Skills

PythonScalaJavaSQLMachine LearningGenerative AIFoundation ModelsModel Fine-TuningPrompt EngineeringData Engineering

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