Position Details

Type Not Specified

Experience senior

Exp. Years 6+ years

Education Not specified

Category AI & Machine Learning

About this role

Senior ML Engineer responsible for delivering AI products and features, with a focus on GenAI systems, foundation models, and production-grade ML pipelines across Calendly’s AI ecosystem.

Key Responsibilities

Own AI powered features from design through deployment; Partner with product, design, marketing, and engineering to scope and success metrics; Manage deployment pipelines and observability; Champion adoption of AI tools across the company; Maintain on-call rotation and incident response

Technical Overview

Hands-on ML stack including Python/Scala/Java and SQL; experience with GenAI, foundation models, prompt engineering, and model fine-tuning; building reliable ML services with robust monitoring and observability.

Ideal Candidate

The ideal candidate is a senior ML engineer with 6+ years of applied AI/ML experience, strong GenAI knowledge, and hands-on experience with foundation models, prompt engineering, and production-grade ML systems. They should be proficient in Python/Scala/Java and comfortable designing AI-powered features end-to-end for high-traffic apps.

Must-Have Skills

6+ years of industry experience in applied AI/ML and software engineeringExperience with GenAI products architecture and system designHands-on experience implementing AI/ML solutions for high-trafficlow-latencylarge-data applicationsUnderstanding of foundation models and the open-source ecosystemModel fine-tuning and prompt engineeringStrong programming (Python / Scala / Java / SQL)

Nice-to-Have Skills

Experience implementing AI-powered features end-to-endCollaboration with productdesignmarketingand customer successExperience with production AI services and monitoring

Tools & Platforms

CI/CD pipelinesObservability tools

Required Skills

6+ years of AI/ML experienceGenAIfoundation modelsprompt engineeringPythonScalaJavaSQLdata engineeringML pipelinesproduction deploymentmonitoringobservabilityon-call rotationmodel fine-tuning

Hard Skills

PythonScalaJavaSQLGenAIfoundation modelsprompt engineeringdata engineeringML pipelinesproduction deploymentmonitoringobservabilityon-call rotationmodel fine-tuning

Soft Skills

strong verbal and written communicationownershipteam collaborationprioritize work independentlyproblem-solving

Industry & Role

Industry SaaS

Job Function Develop and operate AI-powered features for Calendly’s customers within the AI ecosystem

Role Subtype ML Engineer

Tech Domains Python, Scala, Java, SQL / PostgreSQL, Kubernetes

Keywords for Your Resume

senior machine learning engineermachine learninggenaifoundation modelsprompt engineeringpythonscalajavasqlml pipelinesdata engineeringproductionlow-latencyhigh-trafficobservabilityon-callmodel fine-tuningcalendlyremote us

Deal Breakers

6+ years of AI/ML experience, GenAI product architecture experience, Production ML experience with high-traffic and low-latency workloads, Authorized to work in the United States

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Senior Machine Learning Engineer

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