Senior Machine Learning Engineer

Calendly Calendly · Enterprise · Remote · Engineering

Senior Machine Learning Engineer at Calendly to build and operate AI-powered features for customers, focusing on GenAI products and delivering business value. Requires strong experience in shipping and operating production AI/ML applications, system design, and programming skills.

What you'd actually do

  1. Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
  2. Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team.
  3. Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly.
  4. Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward.
  5. Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines.

Skills

Required

  • 6+ years of industry experience in applied AI/ML and software engineering
  • 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
  • Strong verbal and written communication skills

Nice to have

  • AI Tools

What the JD emphasized

  • shipping and operating AI /ML applications in production
  • GenAI products architecture/system design and implementation
  • high-traffic, low-latency, large-data applications
  • foundation models
  • model fine-tuning
  • prompt engineering
  • AI Tools

Other signals

  • building new AI products
  • operating AI-powered features
  • GenAI products architecture/system design and implementation
  • shipping and operating AI /ML applications in production