Calendly
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Calendly. Skills: Machine Learning, AI, GenAI, Python. Own AI powered features. Understand and share domain knowledge”
What You'll Achieve.
deliver business value; building new AI Products; create magical experiences; define success metrics; tangible impact for end users
Industry & Context.
implement AI solutions to real customer problems; troubleshoot our deployment pipelines; triage alerts and incidents
on-call rotation, incident response, occasional travel
What They're Looking For.
Must Have
6+ years of industry experience in applied AI/ML and software engineering, demonstrated track record of shipping and operating AI /ML applications in production, programming (Python / Scala / Java / SQL etc), data engineering skills, verbal and written communication skills, Authorized to work lawfully in the United States of America
Nice to Have
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, Understanding of foundation models and the open-source ecosystem, model fine-tuning, prompt engineering
What You'll Do.
Own AI powered features
Understand and share domain knowledge
Prioritize your work independently
Proactively seek and offer support
Understand and troubleshoot deployment pipelines
Use monitoring and observability tools
Serve as a subject matter expert
How You'll Work.
Team & Collaboration
Works closely with product, design, marketing, customer success, and engineering teams; partnering with product, design, and engineering; communicating tradeoffs clearly; offering support to teammates pairing, reviewing, and collaborating; collaborating with partners
Communication Scope
verbal and written communication skills; communicating tradeoffs clearly
Process & Methodology
Prioritize your work independently
Full Job Description
What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity What’s so great about working on Calendly’s Data Science & Machine Learning team? We make things possible for our customers through innovation in data, analytics and AI. Why do we need you? Well, we are looking for a Machine Learning Engineer who will deliver business value by building new AI Products for Calendly’s customers. You will report to the head of AI and will be responsible for building and operating AI-powered features that create magical experiences for our customers. Our team: 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. You will join a high performing AI team and be an integral part of building new, AI based experiences for internal and external customers alike. What you’ll do On a typical day, you’ll own features end to end within our AI ecosystem, with growing independence and 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 pa
Applying for this Senior Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Calendly?
Real rants from real employees. Read before you apply.